| ../ |
- |
- |
| !,Column-method.html |
284 B |
2025-05-23 07:46 |
| $,SparkDataFrame-method.html |
290 B |
2025-05-23 07:46 |
| $.html |
290 B |
2025-05-23 07:46 |
| %in%,Column-method.html |
288 B |
2025-05-23 07:46 |
| [,SparkDataFrame-method.html |
290 B |
2025-05-23 07:46 |
| [.html |
290 B |
2025-05-23 07:46 |
| [[,SparkDataFrame,numericOrcharacter-method.html |
290 B |
2025-05-23 07:46 |
| [[.html |
290 B |
2025-05-23 07:46 |
| abs,Column-method.html |
320 B |
2025-05-23 07:46 |
| abs.html |
320 B |
2025-05-23 07:46 |
| acos,Column-method.html |
320 B |
2025-05-23 07:46 |
| acos.html |
320 B |
2025-05-23 07:46 |
| acosh,Column-method.html |
320 B |
2025-05-23 07:46 |
| acosh.html |
320 B |
2025-05-23 07:46 |
| add_months,Column,numeric-method.html |
338 B |
2025-05-23 07:46 |
| add_months.html |
338 B |
2025-05-23 07:46 |
| addJobTAg.html |
10.3 KB |
2025-05-23 07:46 |
| AFTSurvivalRegressionModel-class.html |
9.1 KB |
2025-05-23 07:46 |
| agg,GroupedData-method.html |
296 B |
2025-05-23 07:46 |
| agg,SparkDataFrame-method.html |
296 B |
2025-05-23 07:46 |
| alias,Column-method.html |
288 B |
2025-05-23 07:46 |
| alias,SparkDataFrame-method.html |
288 B |
2025-05-23 07:46 |
| alias.html |
18.9 KB |
2025-05-23 07:46 |
| ALSModel-class.html |
8.9 KB |
2025-05-23 07:46 |
| approx_count_distinct,Column-method.html |
330 B |
2025-05-23 07:46 |
| approx_count_distinct.html |
330 B |
2025-05-23 07:46 |
| approxCountDistinct,Column-method.html |
330 B |
2025-05-23 07:46 |
| approxCountDistinct.html |
330 B |
2025-05-23 07:46 |
| approxQuantile,SparkDataFrame,character,numeric,numeric-method.html |
306 B |
2025-05-23 07:46 |
| approxQuantile.html |
14.9 KB |
2025-05-23 07:46 |
| arrange,SparkDataFrame,character-method.html |
292 B |
2025-05-23 07:46 |
| arrange,SparkDataFrame,Column-method.html |
292 B |
2025-05-23 07:46 |
| arrange.html |
18.8 KB |
2025-05-23 07:46 |
| array_aggregate,characterOrColumn,Column,function-method.html |
332 B |
2025-05-23 07:46 |
| array_aggregate.html |
332 B |
2025-05-23 07:46 |
| array_contains,Column-method.html |
332 B |
2025-05-23 07:46 |
| array_contains.html |
332 B |
2025-05-23 07:46 |
| array_distinct,Column-method.html |
332 B |
2025-05-23 07:46 |
| array_distinct.html |
332 B |
2025-05-23 07:46 |
| array_except,Column,Column-method.html |
332 B |
2025-05-23 07:46 |
| array_except,Column-method.html |
332 B |
2025-05-23 07:46 |
| array_except.html |
332 B |
2025-05-23 07:46 |
| array_exists,characterOrColumn,function-method.html |
332 B |
2025-05-23 07:46 |
| array_exists.html |
332 B |
2025-05-23 07:46 |
| array_filter,characterOrColumn,function-method.html |
332 B |
2025-05-23 07:46 |
| array_filter.html |
332 B |
2025-05-23 07:46 |
| array_forall,characterOrColumn,function-method.html |
332 B |
2025-05-23 07:46 |
| array_forall.html |
332 B |
2025-05-23 07:46 |
| array_intersect,Column,Column-method.html |
332 B |
2025-05-23 07:46 |
| array_intersect,Column-method.html |
332 B |
2025-05-23 07:46 |
| array_intersect.html |
332 B |
2025-05-23 07:46 |
| array_join,Column,character-method.html |
332 B |
2025-05-23 07:46 |
| array_join,Column-method.html |
332 B |
2025-05-23 07:46 |
| array_join.html |
332 B |
2025-05-23 07:46 |
| array_max,Column-method.html |
332 B |
2025-05-23 07:46 |
| array_max.html |
332 B |
2025-05-23 07:46 |
| array_min,Column-method.html |
332 B |
2025-05-23 07:46 |
| array_min.html |
332 B |
2025-05-23 07:46 |
| array_position,Column-method.html |
332 B |
2025-05-23 07:46 |
| array_position.html |
332 B |
2025-05-23 07:46 |
| array_remove,Column-method.html |
332 B |
2025-05-23 07:46 |
| array_remove.html |
332 B |
2025-05-23 07:46 |
| array_repeat,Column,numericOrColumn-method.html |
332 B |
2025-05-23 07:46 |
| array_repeat.html |
332 B |
2025-05-23 07:46 |
| array_sort,Column-method.html |
332 B |
2025-05-23 07:46 |
| array_sort.html |
332 B |
2025-05-23 07:46 |
| array_to_vector,Column-method.html |
316 B |
2025-05-23 07:46 |
| array_to_vector.html |
316 B |
2025-05-23 07:46 |
| array_transform,characterOrColumn,characterOrColumn,function-method.html |
332 B |
2025-05-23 07:46 |
| array_transform,characterOrColumn,function-method.html |
332 B |
2025-05-23 07:46 |
| array_transform.html |
332 B |
2025-05-23 07:46 |
| array_union,Column,Column-method.html |
332 B |
2025-05-23 07:46 |
| array_union,Column-method.html |
332 B |
2025-05-23 07:46 |
| array_union.html |
332 B |
2025-05-23 07:46 |
| arrays_overlap,Column,Column-method.html |
332 B |
2025-05-23 07:46 |
| arrays_overlap,Column-method.html |
332 B |
2025-05-23 07:46 |
| arrays_overlap.html |
332 B |
2025-05-23 07:46 |
| arrays_zip,Column-method.html |
332 B |
2025-05-23 07:46 |
| arrays_zip.html |
332 B |
2025-05-23 07:46 |
| arrays_zip_with,characterOrColumn,characterOrColumn,function-method.html |
332 B |
2025-05-23 07:46 |
| arrays_zip_with.html |
332 B |
2025-05-23 07:46 |
| as.data.frame,SparkDataFrame-method.html |
304 B |
2025-05-23 07:46 |
| as.data.frame.html |
16.7 KB |
2025-05-23 07:46 |
| as.DataFrame.html |
308 B |
2025-05-23 07:46 |
| asc_nulls_first.html |
308 B |
2025-05-23 07:46 |
| asc_nulls_last.html |
308 B |
2025-05-23 07:46 |
| ascii,Column-method.html |
324 B |
2025-05-23 07:46 |
| ascii.html |
324 B |
2025-05-23 07:46 |
| asin,Column-method.html |
320 B |
2025-05-23 07:46 |
| asin.html |
320 B |
2025-05-23 07:46 |
| asinh,Column-method.html |
320 B |
2025-05-23 07:46 |
| asinh.html |
320 B |
2025-05-23 07:46 |
| assert_true,Column-method.html |
320 B |
2025-05-23 07:46 |
| assert_true.html |
320 B |
2025-05-23 07:46 |
| associationRules,FPGrowthModel-method.html |
306 B |
2025-05-23 07:46 |
| atan,Column-method.html |
320 B |
2025-05-23 07:46 |
| atan.html |
320 B |
2025-05-23 07:46 |
| atan2,Column-method.html |
320 B |
2025-05-23 07:46 |
| atan2.html |
320 B |
2025-05-23 07:46 |
| atanh,Column-method.html |
320 B |
2025-05-23 07:46 |
| atanh.html |
320 B |
2025-05-23 07:46 |
| attach.html |
16.9 KB |
2025-05-23 07:46 |
| avg,Column-method.html |
284 B |
2025-05-23 07:46 |
| avg.html |
10.6 KB |
2025-05-23 07:46 |
| awaitTermination,StreamingQuery-method.html |
310 B |
2025-05-23 07:46 |
| awaitTermination.html |
11.5 KB |
2025-05-23 07:46 |
| base64,Column-method.html |
324 B |
2025-05-23 07:46 |
| base64.html |
324 B |
2025-05-23 07:46 |
| between,Column-method.html |
292 B |
2025-05-23 07:46 |
| between.html |
10.1 KB |
2025-05-23 07:46 |
| bin,Column-method.html |
320 B |
2025-05-23 07:46 |
| bin.html |
320 B |
2025-05-23 07:46 |
| BisectingKMeansModel-class.html |
9.1 KB |
2025-05-23 07:46 |
| bit_length,Column-method.html |
324 B |
2025-05-23 07:46 |
| bit_length.html |
324 B |
2025-05-23 07:46 |
| bitwise_not,Column-method.html |
336 B |
2025-05-23 07:46 |
| bitwise_not.html |
336 B |
2025-05-23 07:46 |
| bitwiseNOT,Column-method.html |
336 B |
2025-05-23 07:46 |
| bitwiseNOT.html |
336 B |
2025-05-23 07:46 |
| broadcast,SparkDataFrame-method.html |
296 B |
2025-05-23 07:46 |
| broadcast.html |
16.3 KB |
2025-05-23 07:46 |
| bround,Column-method.html |
320 B |
2025-05-23 07:46 |
| bround.html |
320 B |
2025-05-23 07:46 |
| cache,SparkDataFrame-method.html |
288 B |
2025-05-23 07:46 |
| cache.html |
15.2 KB |
2025-05-23 07:46 |
| cacheTable.html |
11.0 KB |
2025-05-23 07:46 |
| cancelJobGroup.html |
10.2 KB |
2025-05-23 07:46 |
| cancelJobsWithTag.html |
10.2 KB |
2025-05-23 07:46 |
| cast,Column-method.html |
286 B |
2025-05-23 07:46 |
| cast.html |
11.1 KB |
2025-05-23 07:46 |
| cbrt,Column-method.html |
320 B |
2025-05-23 07:46 |
| cbrt.html |
320 B |
2025-05-23 07:46 |
| ceil,Column-method.html |
320 B |
2025-05-23 07:46 |
| ceil.html |
320 B |
2025-05-23 07:46 |
| ceiling,Column-method.html |
320 B |
2025-05-23 07:46 |
| ceiling.html |
320 B |
2025-05-23 07:46 |
| checkpoint,SparkDataFrame-method.html |
298 B |
2025-05-23 07:46 |
| checkpoint.html |
16.1 KB |
2025-05-23 07:46 |
| clearCache.html |
9.5 KB |
2025-05-23 07:46 |
| clearJobGroup.html |
9.8 KB |
2025-05-23 07:46 |
| clearJobTags.html |
9.7 KB |
2025-05-23 07:46 |
| coalesce,Column-method.html |
336 B |
2025-05-23 07:46 |
| coalesce,SparkDataFrame-method.html |
294 B |
2025-05-23 07:46 |
| coalesce.html |
17.3 KB |
2025-05-23 07:46 |
| collect,SparkDataFrame-method.html |
292 B |
2025-05-23 07:46 |
| collect.html |
16.6 KB |
2025-05-23 07:46 |
| collect_list,Column-method.html |
330 B |
2025-05-23 07:46 |
| collect_list.html |
330 B |
2025-05-23 07:46 |
| collect_set,Column-method.html |
330 B |
2025-05-23 07:46 |
| collect_set.html |
330 B |
2025-05-23 07:46 |
| colnames,SparkDataFrame-method.html |
292 B |
2025-05-23 07:46 |
| coltypes,SparkDataFrame-method.html |
294 B |
2025-05-23 07:46 |
| coltypes.html |
17.7 KB |
2025-05-23 07:46 |
| column,character-method.html |
290 B |
2025-05-23 07:46 |
| column,jobj-method.html |
290 B |
2025-05-23 07:46 |
| Column-class.html |
290 B |
2025-05-23 07:46 |
| column.html |
11.0 KB |
2025-05-23 07:46 |
| column_aggregate_functions.html |
51.0 KB |
2025-05-23 07:46 |
| column_avro_functions.html |
15.2 KB |
2025-05-23 07:46 |
| column_collection_functions.html |
88.6 KB |
2025-05-23 07:46 |
| column_datetime_diff_functions.html |
26.1 KB |
2025-05-23 07:46 |
| column_datetime_functions.html |
48.6 KB |
2025-05-23 07:46 |
| column_math_functions.html |
37.4 KB |
2025-05-23 07:46 |
| column_misc_functions.html |
19.4 KB |
2025-05-23 07:46 |
| column_ml_functions.html |
12.7 KB |
2025-05-23 07:46 |
| column_nonaggregate_functions.html |
37.0 KB |
2025-05-23 07:46 |
| column_string_functions.html |
55.8 KB |
2025-05-23 07:46 |
| column_window_functions.html |
22.5 KB |
2025-05-23 07:46 |
| columnfunctions.html |
11.3 KB |
2025-05-23 07:46 |
| columns,SparkDataFrame-method.html |
292 B |
2025-05-23 07:46 |
| columns.html |
17.3 KB |
2025-05-23 07:46 |
| concat,Column-method.html |
332 B |
2025-05-23 07:46 |
| concat.html |
332 B |
2025-05-23 07:46 |
| concat_ws,character,Column-method.html |
324 B |
2025-05-23 07:46 |
| concat_ws.html |
324 B |
2025-05-23 07:46 |
| contains.html |
308 B |
2025-05-23 07:46 |
| conv,Column,numeric,numeric-method.html |
320 B |
2025-05-23 07:46 |
| conv.html |
320 B |
2025-05-23 07:46 |
| corr,Column-method.html |
286 B |
2025-05-23 07:46 |
| corr,SparkDataFrame-method.html |
286 B |
2025-05-23 07:46 |
| corr.html |
14.0 KB |
2025-05-23 07:46 |
| cos,Column-method.html |
320 B |
2025-05-23 07:46 |
| cos.html |
320 B |
2025-05-23 07:46 |
| cosh,Column-method.html |
320 B |
2025-05-23 07:46 |
| cosh.html |
320 B |
2025-05-23 07:46 |
| cot,Column-method.html |
320 B |
2025-05-23 07:46 |
| cot.html |
320 B |
2025-05-23 07:46 |
| count,Column-method.html |
288 B |
2025-05-23 07:46 |
| count,GroupedData-method.html |
288 B |
2025-05-23 07:46 |
| count,SparkDataFrame-method.html |
286 B |
2025-05-23 07:46 |
| count.html |
12.7 KB |
2025-05-23 07:46 |
| count_distinct,Column-method.html |
330 B |
2025-05-23 07:46 |
| count_distinct.html |
330 B |
2025-05-23 07:46 |
| countDistinct,Column-method.html |
330 B |
2025-05-23 07:46 |
| countDistinct.html |
330 B |
2025-05-23 07:46 |
| cov,characterOrColumn-method.html |
284 B |
2025-05-23 07:46 |
| cov,SparkDataFrame-method.html |
284 B |
2025-05-23 07:46 |
| cov.html |
16.2 KB |
2025-05-23 07:46 |
| covar_pop,characterOrColumn,characterOrColumn-method.html |
284 B |
2025-05-23 07:46 |
| covar_pop.html |
284 B |
2025-05-23 07:46 |
| covar_samp,characterOrColumn,characterOrColumn-method.html |
284 B |
2025-05-23 07:46 |
| covar_samp.html |
284 B |
2025-05-23 07:46 |
| crc32,Column-method.html |
320 B |
2025-05-23 07:46 |
| crc32.html |
320 B |
2025-05-23 07:46 |
| create_array,Column-method.html |
336 B |
2025-05-23 07:46 |
| create_array.html |
336 B |
2025-05-23 07:46 |
| create_lambda.html |
9.9 KB |
2025-05-23 07:46 |
| create_map,Column-method.html |
336 B |
2025-05-23 07:46 |
| create_map.html |
336 B |
2025-05-23 07:46 |
| createDataFrame.html |
12.3 KB |
2025-05-23 07:46 |
| createExternalTable-deprecated.html |
12.1 KB |
2025-05-23 07:46 |
| createOrReplaceTempView,SparkDataFrame,character-method.html |
324 B |
2025-05-23 07:46 |
| createOrReplaceTempView.html |
16.1 KB |
2025-05-23 07:46 |
| createTable.html |
12.8 KB |
2025-05-23 07:46 |
| crossJoin,SparkDataFrame,SparkDataFrame-method.html |
296 B |
2025-05-23 07:46 |
| crossJoin.html |
15.6 KB |
2025-05-23 07:46 |
| crosstab,SparkDataFrame,character,character-method.html |
294 B |
2025-05-23 07:46 |
| crosstab.html |
12.3 KB |
2025-05-23 07:46 |
| csc,Column-method.html |
320 B |
2025-05-23 07:46 |
| csc.html |
320 B |
2025-05-23 07:46 |
| cube,SparkDataFrame-method.html |
286 B |
2025-05-23 07:46 |
| cube.html |
16.9 KB |
2025-05-23 07:46 |
| cume_dist,missing-method.html |
324 B |
2025-05-23 07:46 |
| cume_dist.html |
324 B |
2025-05-23 07:46 |
| current_date,missing-method.html |
328 B |
2025-05-23 07:46 |
| current_date.html |
328 B |
2025-05-23 07:46 |
| current_timestamp,missing-method.html |
328 B |
2025-05-23 07:46 |
| current_timestamp.html |
328 B |
2025-05-23 07:46 |
| currentCatalog.html |
9.9 KB |
2025-05-23 07:46 |
| currentDatabase.html |
9.9 KB |
2025-05-23 07:46 |
| dapply,SparkDataFrame,function,characterOrstructType-method.html |
290 B |
2025-05-23 07:46 |
| dapply.html |
22.2 KB |
2025-05-23 07:46 |
| dapplyCollect,SparkDataFrame,function-method.html |
304 B |
2025-05-23 07:46 |
| dapplyCollect.html |
18.8 KB |
2025-05-23 07:46 |
| databaseExists.html |
10.3 KB |
2025-05-23 07:46 |
| date_add,Column,numeric-method.html |
338 B |
2025-05-23 07:46 |
| date_add.html |
338 B |
2025-05-23 07:46 |
| date_format,Column,character-method.html |
338 B |
2025-05-23 07:46 |
| date_format.html |
338 B |
2025-05-23 07:46 |
| date_sub,Column,numeric-method.html |
338 B |
2025-05-23 07:46 |
| date_sub.html |
338 B |
2025-05-23 07:46 |
| date_trunc,character,Column-method.html |
328 B |
2025-05-23 07:46 |
| date_trunc.html |
328 B |
2025-05-23 07:46 |
| datediff,Column-method.html |
338 B |
2025-05-23 07:46 |
| datediff.html |
338 B |
2025-05-23 07:46 |
| dayofmonth,Column-method.html |
328 B |
2025-05-23 07:46 |
| dayofmonth.html |
328 B |
2025-05-23 07:46 |
| dayofweek,Column-method.html |
328 B |
2025-05-23 07:46 |
| dayofweek.html |
328 B |
2025-05-23 07:46 |
| dayofyear,Column-method.html |
328 B |
2025-05-23 07:46 |
| dayofyear.html |
328 B |
2025-05-23 07:46 |
| DecisionTreeClassificationModel-class.html |
9.2 KB |
2025-05-23 07:46 |
| DecisionTreeRegressionModel-class.html |
9.1 KB |
2025-05-23 07:46 |
| decode,Column,character-method.html |
324 B |
2025-05-23 07:46 |
| decode.html |
324 B |
2025-05-23 07:46 |
| degrees,Column-method.html |
320 B |
2025-05-23 07:46 |
| degrees.html |
320 B |
2025-05-23 07:46 |
| dense_rank,missing-method.html |
324 B |
2025-05-23 07:46 |
| dense_rank.html |
324 B |
2025-05-23 07:46 |
| desc.html |
308 B |
2025-05-23 07:46 |
| desc_nulls_first.html |
308 B |
2025-05-23 07:46 |
| desc_nulls_last.html |
308 B |
2025-05-23 07:46 |
| describe,SparkDataFrame,ANY-method.html |
294 B |
2025-05-23 07:46 |
| describe,SparkDataFrame,character-method.html |
294 B |
2025-05-23 07:46 |
| describe,SparkDataFrame-method.html |
294 B |
2025-05-23 07:46 |
| describe.html |
16.8 KB |
2025-05-23 07:46 |
| dim,SparkDataFrame-method.html |
284 B |
2025-05-23 07:46 |
| dim.html |
15.2 KB |
2025-05-23 07:46 |
| distinct,SparkDataFrame-method.html |
294 B |
2025-05-23 07:46 |
| distinct.html |
15.6 KB |
2025-05-23 07:46 |
| drop,ANY,ANY-method.html |
286 B |
2025-05-23 07:46 |
| drop,SparkDataFrame,characterOrColumn-method.html |
286 B |
2025-05-23 07:46 |
| drop.html |
17.4 KB |
2025-05-23 07:46 |
| dropDuplicates,SparkDataFrame-method.html |
306 B |
2025-05-23 07:46 |
| dropDuplicates.html |
16.4 KB |
2025-05-23 07:46 |
| dropFields,Column-method.html |
298 B |
2025-05-23 07:46 |
| dropFields.html |
16.7 KB |
2025-05-23 07:46 |
| dropna,SparkDataFrame-method.html |
300 B |
2025-05-23 07:46 |
| dropTempTable-deprecated.html |
11.1 KB |
2025-05-23 07:46 |
| dropTempView.html |
11.2 KB |
2025-05-23 07:46 |
| dtypes,SparkDataFrame-method.html |
290 B |
2025-05-23 07:46 |
| dtypes.html |
15.2 KB |
2025-05-23 07:46 |
| element_at,Column-method.html |
332 B |
2025-05-23 07:46 |
| element_at.html |
332 B |
2025-05-23 07:46 |
| encode,Column,character-method.html |
324 B |
2025-05-23 07:46 |
| encode.html |
324 B |
2025-05-23 07:46 |
| endsWith,Column-method.html |
294 B |
2025-05-23 07:46 |
| endsWith.html |
10.4 KB |
2025-05-23 07:46 |
| eq_null_safe.html |
13.6 KB |
2025-05-23 07:46 |
| except,SparkDataFrame,SparkDataFrame-method.html |
290 B |
2025-05-23 07:46 |
| except.html |
16.0 KB |
2025-05-23 07:46 |
| exceptAll,SparkDataFrame,SparkDataFrame-method.html |
296 B |
2025-05-23 07:46 |
| exceptAll.html |
16.4 KB |
2025-05-23 07:46 |
| exp,Column-method.html |
320 B |
2025-05-23 07:46 |
| exp.html |
320 B |
2025-05-23 07:46 |
| explain,SparkDataFrame-method.html |
292 B |
2025-05-23 07:46 |
| explain,StreamingQuery-method.html |
292 B |
2025-05-23 07:46 |
| explain.html |
16.7 KB |
2025-05-23 07:46 |
| explode,Column-method.html |
332 B |
2025-05-23 07:46 |
| explode.html |
332 B |
2025-05-23 07:46 |
| explode_outer,Column-method.html |
332 B |
2025-05-23 07:46 |
| explode_outer.html |
332 B |
2025-05-23 07:46 |
| expm1,Column-method.html |
320 B |
2025-05-23 07:46 |
| expm1.html |
320 B |
2025-05-23 07:46 |
| expr,character-method.html |
336 B |
2025-05-23 07:46 |
| expr.html |
336 B |
2025-05-23 07:46 |
| factorial,Column-method.html |
320 B |
2025-05-23 07:46 |
| factorial.html |
320 B |
2025-05-23 07:46 |
| fillna,SparkDataFrame-method.html |
300 B |
2025-05-23 07:46 |
| fillna.html |
300 B |
2025-05-23 07:46 |
| filter,SparkDataFrame,characterOrColumn-method.html |
290 B |
2025-05-23 07:46 |
| filter.html |
16.6 KB |
2025-05-23 07:46 |
| findFrequentSequentialPatterns,PrefixSpan,SparkDataFrame-method.html |
310 B |
2025-05-23 07:46 |
| first,characterOrColumn-method.html |
288 B |
2025-05-23 07:46 |
| first,SparkDataFrame-method.html |
288 B |
2025-05-23 07:46 |
| first.html |
17.5 KB |
2025-05-23 07:46 |
| fitted,BisectingKMeansModel-method.html |
320 B |
2025-05-23 07:46 |
| fitted,KMeansModel-method.html |
290 B |
2025-05-23 07:46 |
| fitted.html |
11.8 KB |
2025-05-23 07:46 |
| flatten,Column-method.html |
332 B |
2025-05-23 07:46 |
| flatten.html |
332 B |
2025-05-23 07:46 |
| floor,Column-method.html |
320 B |
2025-05-23 07:46 |
| floor.html |
320 B |
2025-05-23 07:46 |
| FMClassificationModel-class.html |
9.1 KB |
2025-05-23 07:46 |
| FMRegressionModel-class.html |
9.0 KB |
2025-05-23 07:46 |
| format_number,Column,numeric-method.html |
324 B |
2025-05-23 07:46 |
| format_number.html |
324 B |
2025-05-23 07:46 |
| format_string,character,Column-method.html |
324 B |
2025-05-23 07:46 |
| format_string.html |
324 B |
2025-05-23 07:46 |
| FPGrowthModel-class.html |
9.0 KB |
2025-05-23 07:46 |
| freqItems,SparkDataFrame,character-method.html |
296 B |
2025-05-23 07:46 |
| freqItems.html |
12.3 KB |
2025-05-23 07:46 |
| freqItemsets,FPGrowthModel-method.html |
306 B |
2025-05-23 07:46 |
| from_avro,characterOrColumn-method.html |
320 B |
2025-05-23 07:46 |
| from_avro,Column-method.html |
320 B |
2025-05-23 07:46 |
| from_avro.html |
320 B |
2025-05-23 07:46 |
| from_csv,Column,characterOrstructTypeOrColumn-method.html |
332 B |
2025-05-23 07:46 |
| from_csv.html |
332 B |
2025-05-23 07:46 |
| from_json,Column,characterOrstructTypeOrColumn-method.html |
332 B |
2025-05-23 07:46 |
| from_json.html |
332 B |
2025-05-23 07:46 |
| from_unixtime,Column-method.html |
328 B |
2025-05-23 07:46 |
| from_unixtime.html |
328 B |
2025-05-23 07:46 |
| from_utc_timestamp,Column,character-method.html |
338 B |
2025-05-23 07:46 |
| from_utc_timestamp.html |
338 B |
2025-05-23 07:46 |
| functionExists.html |
10.3 KB |
2025-05-23 07:46 |
| gapply,GroupedData-method.html |
290 B |
2025-05-23 07:46 |
| gapply,SparkDataFrame-method.html |
290 B |
2025-05-23 07:46 |
| gapply.html |
29.8 KB |
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| gapplyCollect,GroupedData-method.html |
304 B |
2025-05-23 07:46 |
| gapplyCollect,SparkDataFrame-method.html |
304 B |
2025-05-23 07:46 |
| gapplyCollect.html |
26.1 KB |
2025-05-23 07:46 |
| GaussianMixtureModel-class.html |
9.1 KB |
2025-05-23 07:46 |
| GBTClassificationModel-class.html |
9.1 KB |
2025-05-23 07:46 |
| GBTRegressionModel-class.html |
9.0 KB |
2025-05-23 07:46 |
| GeneralizedLinearRegressionModel-class.html |
9.2 KB |
2025-05-23 07:46 |
| getDatabase.html |
10.4 KB |
2025-05-23 07:46 |
| getField.html |
308 B |
2025-05-23 07:46 |
| getFunc.html |
10.5 KB |
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| getItem.html |
308 B |
2025-05-23 07:46 |
| getJobTags.html |
10.1 KB |
2025-05-23 07:46 |
| getLocalProperty.html |
10.3 KB |
2025-05-23 07:46 |
| getNumPartitions,SparkDataFrame-method.html |
310 B |
2025-05-23 07:46 |
| getNumPartitions.html |
15.0 KB |
2025-05-23 07:46 |
| getTable.html |
10.4 KB |
2025-05-23 07:46 |
| glm.html |
15.3 KB |
2025-05-23 07:46 |
| greatest,Column-method.html |
336 B |
2025-05-23 07:46 |
| greatest.html |
336 B |
2025-05-23 07:46 |
| group_by,SparkDataFrame-method.html |
292 B |
2025-05-23 07:46 |
| groupBy,SparkDataFrame-method.html |
292 B |
2025-05-23 07:46 |
| groupBy.html |
16.5 KB |
2025-05-23 07:46 |
| GroupedData.html |
9.6 KB |
2025-05-23 07:46 |
| groupedData.html |
300 B |
2025-05-23 07:46 |
| grouping_bit,Column-method.html |
330 B |
2025-05-23 07:46 |
| grouping_bit.html |
330 B |
2025-05-23 07:46 |
| grouping_id,Column-method.html |
330 B |
2025-05-23 07:46 |
| grouping_id.html |
330 B |
2025-05-23 07:46 |
| hash,Column-method.html |
320 B |
2025-05-23 07:46 |
| hash.html |
320 B |
2025-05-23 07:46 |
| hashCode.html |
10.8 KB |
2025-05-23 07:46 |
| head,SparkDataFrame-method.html |
286 B |
2025-05-23 07:46 |
| head.html |
15.7 KB |
2025-05-23 07:46 |
| hex,Column-method.html |
320 B |
2025-05-23 07:46 |
| hex.html |
320 B |
2025-05-23 07:46 |
| hint,SparkDataFrame,character-method.html |
286 B |
2025-05-23 07:46 |
| hint.html |
16.5 KB |
2025-05-23 07:46 |
| histogram,SparkDataFrame,characterOrColumn-method.html |
296 B |
2025-05-23 07:46 |
| histogram.html |
17.6 KB |
2025-05-23 07:46 |
| hour,Column-method.html |
328 B |
2025-05-23 07:46 |
| hour.html |
328 B |
2025-05-23 07:46 |
| hypot,Column-method.html |
320 B |
2025-05-23 07:46 |
| hypot.html |
320 B |
2025-05-23 07:46 |
| ifelse,Column-method.html |
336 B |
2025-05-23 07:46 |
| ifelse.html |
336 B |
2025-05-23 07:46 |
| ilike.html |
308 B |
2025-05-23 07:46 |
| index.html |
77.5 KB |
2025-05-23 07:46 |
| initcap,Column-method.html |
324 B |
2025-05-23 07:46 |
| initcap.html |
324 B |
2025-05-23 07:46 |
| input_file_name,missing-method.html |
336 B |
2025-05-23 07:46 |
| input_file_name.html |
336 B |
2025-05-23 07:46 |
| insertInto,SparkDataFrame,character-method.html |
298 B |
2025-05-23 07:46 |
| insertInto.html |
16.5 KB |
2025-05-23 07:46 |
| install.spark.html |
13.9 KB |
2025-05-23 07:46 |
| instr,Column,character-method.html |
324 B |
2025-05-23 07:46 |
| instr.html |
324 B |
2025-05-23 07:46 |
| intersect,SparkDataFrame,SparkDataFrame-method.html |
296 B |
2025-05-23 07:46 |
| intersect.html |
16.0 KB |
2025-05-23 07:46 |
| intersectAll,SparkDataFrame,SparkDataFrame-method.html |
302 B |
2025-05-23 07:46 |
| intersectAll.html |
16.4 KB |
2025-05-23 07:46 |
| invoke_higher_order_function.html |
10.1 KB |
2025-05-23 07:46 |
| is.nan,Column-method.html |
336 B |
2025-05-23 07:46 |
| is.nan.html |
336 B |
2025-05-23 07:46 |
| isActive,StreamingQuery-method.html |
294 B |
2025-05-23 07:46 |
| isActive.html |
10.6 KB |
2025-05-23 07:46 |
| isLocal,SparkDataFrame-method.html |
292 B |
2025-05-23 07:46 |
| isLocal.html |
15.3 KB |
2025-05-23 07:46 |
| isnan,Column-method.html |
336 B |
2025-05-23 07:46 |
| isNaN.html |
308 B |
2025-05-23 07:46 |
| isnan.html |
336 B |
2025-05-23 07:46 |
| isNotNull.html |
308 B |
2025-05-23 07:46 |
| isNull.html |
308 B |
2025-05-23 07:46 |
| IsotonicRegressionModel-class.html |
9.1 KB |
2025-05-23 07:46 |
| isStreaming,SparkDataFrame-method.html |
300 B |
2025-05-23 07:46 |
| isStreaming.html |
16.0 KB |
2025-05-23 07:46 |
| join,SparkDataFrame,SparkDataFrame-method.html |
286 B |
2025-05-23 07:46 |
| join.html |
17.3 KB |
2025-05-23 07:46 |
| KMeansModel-class.html |
9.0 KB |
2025-05-23 07:46 |
| KSTest-class.html |
8.9 KB |
2025-05-23 07:46 |
| kurtosis,Column-method.html |
330 B |
2025-05-23 07:46 |
| kurtosis.html |
330 B |
2025-05-23 07:46 |
| lag,characterOrColumn-method.html |
324 B |
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| lag.html |
324 B |
2025-05-23 07:46 |
| last,characterOrColumn-method.html |
286 B |
2025-05-23 07:46 |
| last.html |
11.7 KB |
2025-05-23 07:46 |
| last_day,Column-method.html |
328 B |
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| last_day.html |
328 B |
2025-05-23 07:46 |
| lastProgress,StreamingQuery-method.html |
302 B |
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| lastProgress.html |
10.6 KB |
2025-05-23 07:46 |
| LDAModel-class.html |
8.9 KB |
2025-05-23 07:46 |
| lead,characterOrColumn,numeric-method.html |
324 B |
2025-05-23 07:46 |
| lead.html |
324 B |
2025-05-23 07:46 |
| least,Column-method.html |
336 B |
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| least.html |
336 B |
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| length,Column-method.html |
324 B |
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| length.html |
324 B |
2025-05-23 07:46 |
| levenshtein,Column-method.html |
324 B |
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| levenshtein.html |
324 B |
2025-05-23 07:46 |
| like.html |
308 B |
2025-05-23 07:46 |
| limit,SparkDataFrame,numeric-method.html |
288 B |
2025-05-23 07:46 |
| limit.html |
15.7 KB |
2025-05-23 07:46 |
| LinearRegressionModel-class.html |
9.1 KB |
2025-05-23 07:46 |
| LinearSVCModel-class.html |
9.0 KB |
2025-05-23 07:46 |
| listCatalogs.html |
9.9 KB |
2025-05-23 07:46 |
| listColumns.html |
11.1 KB |
2025-05-23 07:46 |
| listDatabases.html |
9.9 KB |
2025-05-23 07:46 |
| listFunctions.html |
10.7 KB |
2025-05-23 07:46 |
| listTables.html |
10.9 KB |
2025-05-23 07:46 |
| lit,ANY-method.html |
336 B |
2025-05-23 07:46 |
| lit.html |
336 B |
2025-05-23 07:46 |
| ln,Column-method.html |
320 B |
2025-05-23 07:46 |
| ln.html |
320 B |
2025-05-23 07:46 |
| loadDF.html |
292 B |
2025-05-23 07:46 |
| localCheckpoint,SparkDataFrame-method.html |
308 B |
2025-05-23 07:46 |
| localCheckpoint.html |
16.0 KB |
2025-05-23 07:46 |
| locate,character,Column-method.html |
324 B |
2025-05-23 07:46 |
| locate.html |
324 B |
2025-05-23 07:46 |
| log,Column-method.html |
320 B |
2025-05-23 07:46 |
| log.html |
320 B |
2025-05-23 07:46 |
| log10,Column-method.html |
320 B |
2025-05-23 07:46 |
| log10.html |
320 B |
2025-05-23 07:46 |
| log1p,Column-method.html |
320 B |
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| log1p.html |
320 B |
2025-05-23 07:46 |
| log2,Column-method.html |
320 B |
2025-05-23 07:46 |
| log2.html |
320 B |
2025-05-23 07:46 |
| LogisticRegressionModel-class.html |
9.1 KB |
2025-05-23 07:46 |
| lower,Column-method.html |
324 B |
2025-05-23 07:46 |
| lower.html |
324 B |
2025-05-23 07:46 |
| lpad,Column,numeric,character-method.html |
324 B |
2025-05-23 07:46 |
| lpad.html |
324 B |
2025-05-23 07:46 |
| ltrim,Column,character-method.html |
324 B |
2025-05-23 07:46 |
| ltrim,Column,missing-method.html |
324 B |
2025-05-23 07:46 |
| ltrim.html |
324 B |
2025-05-23 07:46 |
| make_date,Column,Column,Column-method.html |
328 B |
2025-05-23 07:46 |
| make_date,Column-method.html |
328 B |
2025-05-23 07:46 |
| make_date.html |
328 B |
2025-05-23 07:46 |
| map_concat,Column-method.html |
332 B |
2025-05-23 07:46 |
| map_concat.html |
332 B |
2025-05-23 07:46 |
| map_entries,Column-method.html |
332 B |
2025-05-23 07:46 |
| map_entries.html |
332 B |
2025-05-23 07:46 |
| map_filter,characterOrColumn,function-method.html |
332 B |
2025-05-23 07:46 |
| map_filter.html |
332 B |
2025-05-23 07:46 |
| map_from_arrays,Column,Column-method.html |
332 B |
2025-05-23 07:46 |
| map_from_arrays,Column-method.html |
332 B |
2025-05-23 07:46 |
| map_from_arrays.html |
332 B |
2025-05-23 07:46 |
| map_from_entries,Column-method.html |
332 B |
2025-05-23 07:46 |
| map_from_entries.html |
332 B |
2025-05-23 07:46 |
| map_keys,Column-method.html |
332 B |
2025-05-23 07:46 |
| map_keys.html |
332 B |
2025-05-23 07:46 |
| map_values,Column-method.html |
332 B |
2025-05-23 07:46 |
| map_values.html |
332 B |
2025-05-23 07:46 |
| map_zip_with,characterOrColumn,characterOrColumn,function-method.html |
332 B |
2025-05-23 07:46 |
| map_zip_with.html |
332 B |
2025-05-23 07:46 |
| match.html |
10.8 KB |
2025-05-23 07:46 |
| max,Column-method.html |
330 B |
2025-05-23 07:46 |
| max.html |
330 B |
2025-05-23 07:46 |
| max_by,Column,Column-method.html |
330 B |
2025-05-23 07:46 |
| max_by,Column-method.html |
330 B |
2025-05-23 07:46 |
| max_by.html |
330 B |
2025-05-23 07:46 |
| md5,Column-method.html |
320 B |
2025-05-23 07:46 |
| md5.html |
320 B |
2025-05-23 07:46 |
| mean,Column-method.html |
330 B |
2025-05-23 07:46 |
| mean.html |
330 B |
2025-05-23 07:46 |
| melt,SparkDataFrame,ANY,ANY,character,character-method.html |
292 B |
2025-05-23 07:46 |
| melt.html |
292 B |
2025-05-23 07:46 |
| merge,SparkDataFrame,SparkDataFrame-method.html |
288 B |
2025-05-23 07:46 |
| merge.html |
21.8 KB |
2025-05-23 07:46 |
| min,Column-method.html |
330 B |
2025-05-23 07:46 |
| min.html |
330 B |
2025-05-23 07:46 |
| min_by,Column,Column-method.html |
330 B |
2025-05-23 07:46 |
| min_by,Column-method.html |
330 B |
2025-05-23 07:46 |
| min_by.html |
330 B |
2025-05-23 07:46 |
| minute,Column-method.html |
328 B |
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| minute.html |
328 B |
2025-05-23 07:46 |
| monotonically_increasing_id,missing-method.html |
336 B |
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| monotonically_increasing_id.html |
336 B |
2025-05-23 07:46 |
| month,Column-method.html |
328 B |
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| month.html |
328 B |
2025-05-23 07:46 |
| months_between,Column-method.html |
338 B |
2025-05-23 07:46 |
| months_between.html |
338 B |
2025-05-23 07:46 |
| MultilayerPerceptronClassificationModel-class.html |
9.3 KB |
2025-05-23 07:46 |
| mutate,SparkDataFrame-method.html |
290 B |
2025-05-23 07:46 |
| mutate.html |
18.9 KB |
2025-05-23 07:46 |
| n,Column-method.html |
288 B |
2025-05-23 07:46 |
| n.html |
288 B |
2025-05-23 07:46 |
| n_distinct,Column-method.html |
330 B |
2025-05-23 07:46 |
| n_distinct.html |
330 B |
2025-05-23 07:46 |
| na.omit,SparkDataFrame-method.html |
300 B |
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| na.omit.html |
300 B |
2025-05-23 07:46 |
| nafunctions.html |
20.5 KB |
2025-05-23 07:46 |
| NaiveBayesModel-class.html |
9.0 KB |
2025-05-23 07:46 |
| names,SparkDataFrame-method.html |
292 B |
2025-05-23 07:46 |
| names.html |
292 B |
2025-05-23 07:46 |
| nanvl,Column-method.html |
336 B |
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| nanvl.html |
336 B |
2025-05-23 07:46 |
| ncol,SparkDataFrame-method.html |
286 B |
2025-05-23 07:46 |
| ncol.html |
15.1 KB |
2025-05-23 07:46 |
| negate,Column-method.html |
336 B |
2025-05-23 07:46 |
| negate.html |
336 B |
2025-05-23 07:46 |
| negative,Column-method.html |
336 B |
2025-05-23 07:46 |
| negative.html |
336 B |
2025-05-23 07:46 |
| next_day,Column,character-method.html |
338 B |
2025-05-23 07:46 |
| next_day.html |
338 B |
2025-05-23 07:46 |
| not,Column-method.html |
284 B |
2025-05-23 07:46 |
| not.html |
14.3 KB |
2025-05-23 07:46 |
| nrow,SparkDataFrame-method.html |
286 B |
2025-05-23 07:46 |
| nrow.html |
15.4 KB |
2025-05-23 07:46 |
| nth_value,characterOrColumn,numeric-method.html |
324 B |
2025-05-23 07:46 |
| nth_value,characterOrColumn-method.html |
324 B |
2025-05-23 07:46 |
| nth_value.html |
324 B |
2025-05-23 07:46 |
| ntile,numeric-method.html |
324 B |
2025-05-23 07:46 |
| ntile.html |
324 B |
2025-05-23 07:46 |
| octet_length,Column-method.html |
324 B |
2025-05-23 07:46 |
| octet_length.html |
324 B |
2025-05-23 07:46 |
| orderBy,SparkDataFrame,characterOrColumn-method.html |
292 B |
2025-05-23 07:46 |
| orderBy,WindowSpec,character-method.html |
292 B |
2025-05-23 07:46 |
| orderBy,WindowSpec,Column-method.html |
292 B |
2025-05-23 07:46 |
| orderBy.html |
11.8 KB |
2025-05-23 07:46 |
| otherwise,Column-method.html |
296 B |
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| otherwise.html |
10.5 KB |
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| over,Column,WindowSpec-method.html |
286 B |
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| over.html |
13.1 KB |
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| overlay,Column,Column,numericOrColumn-method.html |
324 B |
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324 B |
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| overlay.html |
324 B |
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| partitionBy,WindowSpec-method.html |
300 B |
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| partitionBy.html |
11.3 KB |
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| percent_rank,missing-method.html |
324 B |
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| percent_rank.html |
324 B |
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| percentile_approx,characterOrColumn,numericOrColumn-method.html |
330 B |
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330 B |
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| percentile_approx.html |
330 B |
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| persist,SparkDataFrame,character-method.html |
292 B |
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16.0 KB |
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| pivot,GroupedData,character-method.html |
288 B |
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| pivot.html |
16.2 KB |
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| pmod,Column-method.html |
320 B |
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| pmod.html |
320 B |
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| posexplode,Column-method.html |
332 B |
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| posexplode.html |
332 B |
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| posexplode_outer,Column-method.html |
332 B |
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332 B |
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336 B |
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336 B |
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9.1 KB |
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304 B |
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| predict,ALSModel-method.html |
296 B |
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| predict,BisectingKMeansModel-method.html |
320 B |
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314 B |
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314 B |
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| predict,FMClassificationModel,SparkDataFrame-method.html |
314 B |
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| predict,FMClassificationModel-method.html |
314 B |
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| predict,FMRegressionModel,SparkDataFrame-method.html |
312 B |
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312 B |
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| predict,FPGrowthModel-method.html |
306 B |
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320 B |
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| predict,GaussianMixtureModel-method.html |
320 B |
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| predict,GBTClassificationModel-method.html |
296 B |
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296 B |
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296 B |
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| predict,IsotonicRegressionModel,SparkDataFrame-method.html |
302 B |
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302 B |
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| predict,KMeansModel-method.html |
302 B |
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308 B |
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300 B |
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| predict,LogisticRegressionModel-method.html |
300 B |
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| predict,MultilayerPerceptronClassificationModel-method.html |
296 B |
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| predict,NaiveBayesModel-method.html |
310 B |
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| predict,RandomForestClassificationModel-method.html |
314 B |
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314 B |
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| predict.html |
10.3 KB |
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| PrefixSpan-class.html |
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| print.summary.DecisionTreeClassificationModel.html |
314 B |
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314 B |
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| print.summary.GBTClassificationModel.html |
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296 B |
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296 B |
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| print.summary.KSTest.html |
302 B |
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314 B |
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314 B |
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| printSchema,SparkDataFrame-method.html |
300 B |
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330 B |
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330 B |
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328 B |
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328 B |
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320 B |
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320 B |
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| raise_error,characterOrColumn-method.html |
320 B |
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320 B |
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336 B |
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| RandomForestClassificationModel-class.html |
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| RandomForestRegressionModel-class.html |
9.1 KB |
2025-05-23 07:46 |
| randomSplit,SparkDataFrame,numeric-method.html |
300 B |
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| randomSplit.html |
16.5 KB |
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302 B |
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15.3 KB |
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324 B |
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324 B |
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288 B |
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| regexp_extract,Column,character,numeric-method.html |
324 B |
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| regexp_extract.html |
324 B |
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| regexp_replace,Column,character,character-method.html |
324 B |
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| regexp_replace.html |
324 B |
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| registerTempTable,SparkDataFrame,character-method.html |
334 B |
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| registerTempTable-deprecated.html |
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290 B |
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| repartition,SparkDataFrame-method.html |
300 B |
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| repartitionByRange,SparkDataFrame-method.html |
314 B |
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18.4 KB |
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| repeat_string,Column,numeric-method.html |
324 B |
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| repeat_string,Column-method.html |
324 B |
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324 B |
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| reverse,Column-method.html |
332 B |
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332 B |
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| rint,Column-method.html |
320 B |
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| rint.html |
320 B |
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| rlike.html |
308 B |
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290 B |
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320 B |
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324 B |
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324 B |
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| sample,SparkDataFrame-method.html |
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290 B |
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| sampleBy.html |
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| saveAsTable,SparkDataFrame,character-method.html |
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290 B |
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332 B |
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332 B |
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332 B |
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332 B |
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330 B |
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| second.html |
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290 B |
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| show,StreamingQuery-method.html |
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| show,WindowSpec-method.html |
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| show.html |
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| showDF,SparkDataFrame-method.html |
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| shuffle,Column-method.html |
332 B |
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332 B |
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| spark.associationRules,FPGrowthModel-method.html |
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| spark.bisectingKmeans,SparkDataFrame,formula-method.html |
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| spark.decisionTree,SparkDataFrame,formula-method.html |
314 B |
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| spark.findFrequentSequentialPatterns,SparkDataFrame-method.html |
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| spark.fmClassifier,SparkDataFrame,formula-method.html |
314 B |
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| spark.fmRegressor,SparkDataFrame,formula-method.html |
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| spark.fpGrowth,SparkDataFrame-method.html |
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| spark.freqItemsets,FPGrowthModel-method.html |
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306 B |
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302 B |
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| spark.randomForest,SparkDataFrame,formula-method.html |
314 B |
2025-05-23 07:46 |
| spark.randomForest.html |
25.7 KB |
2025-05-23 07:46 |
| spark.survreg,SparkDataFrame,formula-method.html |
304 B |
2025-05-23 07:46 |
| spark.survreg.html |
17.8 KB |
2025-05-23 07:46 |
| spark.svmLinear,SparkDataFrame,formula-method.html |
308 B |
2025-05-23 07:46 |
| spark.svmLinear.html |
19.2 KB |
2025-05-23 07:46 |
| spark_partition_id,missing-method.html |
336 B |
2025-05-23 07:46 |
| spark_partition_id.html |
336 B |
2025-05-23 07:46 |
| SparkDataFrame.html |
15.2 KB |
2025-05-23 07:46 |
| sparkR.callJMethod.html |
12.8 KB |
2025-05-23 07:46 |
| sparkR.callJStatic.html |
12.4 KB |
2025-05-23 07:46 |
| sparkR.conf.html |
11.6 KB |
2025-05-23 07:46 |
| sparkR.init-deprecated.html |
14.3 KB |
2025-05-23 07:46 |
| sparkR.newJObject.html |
12.6 KB |
2025-05-23 07:46 |
| sparkR.session.html |
16.2 KB |
2025-05-23 07:46 |
| sparkR.session.stop.html |
9.4 KB |
2025-05-23 07:46 |
| sparkR.stop.html |
316 B |
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| sparkR.uiWebUrl.html |
10.2 KB |
2025-05-23 07:46 |
| sparkR.version.html |
10.1 KB |
2025-05-23 07:46 |
| sparkRHive.init-deprecated.html |
10.9 KB |
2025-05-23 07:46 |
| sparkRSQL.init-deprecated.html |
11.0 KB |
2025-05-23 07:46 |
| split_string,Column,character-method.html |
324 B |
2025-05-23 07:46 |
| split_string,Column-method.html |
324 B |
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| split_string.html |
324 B |
2025-05-23 07:46 |
| sql.html |
10.9 KB |
2025-05-23 07:46 |
| sqrt,Column-method.html |
320 B |
2025-05-23 07:46 |
| sqrt.html |
320 B |
2025-05-23 07:46 |
| startsWith,Column-method.html |
298 B |
2025-05-23 07:46 |
| startsWith.html |
10.4 KB |
2025-05-23 07:46 |
| status,StreamingQuery-method.html |
290 B |
2025-05-23 07:46 |
| status.html |
10.5 KB |
2025-05-23 07:46 |
| std,Column-method.html |
330 B |
2025-05-23 07:46 |
| std.html |
330 B |
2025-05-23 07:46 |
| stddev,Column-method.html |
330 B |
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| stddev.html |
330 B |
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| stddev_pop,Column-method.html |
330 B |
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| stddev_pop.html |
330 B |
2025-05-23 07:46 |
| stddev_samp,Column-method.html |
330 B |
2025-05-23 07:46 |
| stddev_samp.html |
330 B |
2025-05-23 07:46 |
| stopQuery,StreamingQuery-method.html |
296 B |
2025-05-23 07:46 |
| stopQuery.html |
10.6 KB |
2025-05-23 07:46 |
| storageLevel,SparkDataFrame-method.html |
302 B |
2025-05-23 07:46 |
| storageLevel.html |
15.3 KB |
2025-05-23 07:46 |
| str,SparkDataFrame-method.html |
284 B |
2025-05-23 07:46 |
| str.html |
15.3 KB |
2025-05-23 07:46 |
| StreamingQuery.html |
9.3 KB |
2025-05-23 07:46 |
| struct,characterOrColumn-method.html |
336 B |
2025-05-23 07:46 |
| struct.html |
336 B |
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| structField.character.html |
300 B |
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| structField.html |
13.3 KB |
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| structField.jobj.html |
300 B |
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| structType.character.html |
298 B |
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| structType.html |
14.6 KB |
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| structType.jobj.html |
298 B |
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| structType.structField.html |
298 B |
2025-05-23 07:46 |
| subset,SparkDataFrame-method.html |
290 B |
2025-05-23 07:46 |
| subset.html |
21.9 KB |
2025-05-23 07:46 |
| substr,Column-method.html |
290 B |
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| substr.html |
12.2 KB |
2025-05-23 07:46 |
| substring_index,Column,character,numeric-method.html |
324 B |
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| substring_index.html |
324 B |
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| sum,Column-method.html |
330 B |
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| sum.html |
330 B |
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| sum_distinct,Column-method.html |
330 B |
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| sum_distinct.html |
330 B |
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| sumDistinct,Column-method.html |
330 B |
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| sumDistinct.html |
330 B |
2025-05-23 07:46 |
| summarize,GroupedData-method.html |
296 B |
2025-05-23 07:46 |
| summarize,SparkDataFrame-method.html |
296 B |
2025-05-23 07:46 |
| summarize.html |
17.7 KB |
2025-05-23 07:46 |
| summary,AFTSurvivalRegressionModel-method.html |
304 B |
2025-05-23 07:46 |
| summary,ALSModel-method.html |
296 B |
2025-05-23 07:46 |
| summary,BisectingKMeansModel-method.html |
320 B |
2025-05-23 07:46 |
| summary,DecisionTreeClassificationModel-method.html |
314 B |
2025-05-23 07:46 |
| summary,DecisionTreeRegressionModel-method.html |
314 B |
2025-05-23 07:46 |
| summary,FMClassificationModel-method.html |
314 B |
2025-05-23 07:46 |
| summary,FMRegressionModel-method.html |
312 B |
2025-05-23 07:46 |
| summary,GaussianMixtureModel-method.html |
320 B |
2025-05-23 07:46 |
| summary,GBTClassificationModel-method.html |
296 B |
2025-05-23 07:46 |
| summary,GBTRegressionModel-method.html |
296 B |
2025-05-23 07:46 |
| summary,GeneralizedLinearRegressionModel-method.html |
296 B |
2025-05-23 07:46 |
| summary,IsotonicRegressionModel-method.html |
302 B |
2025-05-23 07:46 |
| summary,KMeansModel-method.html |
302 B |
2025-05-23 07:46 |
| summary,KSTest-method.html |
302 B |
2025-05-23 07:46 |
| summary,LDAModel-method.html |
296 B |
2025-05-23 07:46 |
| summary,LinearRegressionModel-method.html |
294 B |
2025-05-23 07:46 |
| summary,LinearSVCModel-method.html |
308 B |
2025-05-23 07:46 |
| summary,LogisticRegressionModel-method.html |
300 B |
2025-05-23 07:46 |
| summary,MultilayerPerceptronClassificationModel-method.html |
296 B |
2025-05-23 07:46 |
| summary,NaiveBayesModel-method.html |
310 B |
2025-05-23 07:46 |
| summary,RandomForestClassificationModel-method.html |
314 B |
2025-05-23 07:46 |
| summary,RandomForestRegressionModel-method.html |
314 B |
2025-05-23 07:46 |
| summary,SparkDataFrame-method.html |
292 B |
2025-05-23 07:46 |
| summary.html |
18.0 KB |
2025-05-23 07:46 |
| tableExists.html |
10.3 KB |
2025-05-23 07:46 |
| tableNames.html |
10.4 KB |
2025-05-23 07:46 |
| tables.html |
10.6 KB |
2025-05-23 07:46 |
| tableToDF.html |
11.5 KB |
2025-05-23 07:46 |
| take,SparkDataFrame,numeric-method.html |
286 B |
2025-05-23 07:46 |
| take.html |
15.7 KB |
2025-05-23 07:46 |
| tan,Column-method.html |
320 B |
2025-05-23 07:46 |
| tan.html |
320 B |
2025-05-23 07:46 |
| tanh,Column-method.html |
320 B |
2025-05-23 07:46 |
| tanh.html |
320 B |
2025-05-23 07:46 |
| timestamp_seconds,Column-method.html |
328 B |
2025-05-23 07:46 |
| to_avro,characterOrColumn-method.html |
320 B |
2025-05-23 07:46 |
| to_avro,Column-method.html |
320 B |
2025-05-23 07:46 |
| to_avro.html |
320 B |
2025-05-23 07:46 |
| to_csv,Column-method.html |
332 B |
2025-05-23 07:46 |
| to_csv.html |
332 B |
2025-05-23 07:46 |
| to_date,Column,character-method.html |
328 B |
2025-05-23 07:46 |
| to_date,Column,missing-method.html |
328 B |
2025-05-23 07:46 |
| to_date.html |
328 B |
2025-05-23 07:46 |
| to_json,Column-method.html |
332 B |
2025-05-23 07:46 |
| to_json.html |
332 B |
2025-05-23 07:46 |
| to_timestamp,Column,character-method.html |
328 B |
2025-05-23 07:46 |
| to_timestamp,Column,missing-method.html |
328 B |
2025-05-23 07:46 |
| to_timestamp.html |
328 B |
2025-05-23 07:46 |
| to_utc_timestamp,Column,character-method.html |
338 B |
2025-05-23 07:46 |
| to_utc_timestamp.html |
338 B |
2025-05-23 07:46 |
| toDegrees,Column-method.html |
320 B |
2025-05-23 07:46 |
| toDegrees.html |
320 B |
2025-05-23 07:46 |
| toJSON,SparkDataFrame-method.html |
290 B |
2025-05-23 07:46 |
| toJSON.html |
15.8 KB |
2025-05-23 07:46 |
| toRadians,Column-method.html |
320 B |
2025-05-23 07:46 |
| toRadians.html |
320 B |
2025-05-23 07:46 |
| transform,SparkDataFrame-method.html |
290 B |
2025-05-23 07:46 |
| transform.html |
290 B |
2025-05-23 07:46 |
| transform_keys,characterOrColumn,function-method.html |
332 B |
2025-05-23 07:46 |
| transform_keys.html |
332 B |
2025-05-23 07:46 |
| transform_values,characterOrColumn,function-method.html |
332 B |
2025-05-23 07:46 |
| transform_values.html |
332 B |
2025-05-23 07:46 |
| translate,Column,character,character-method.html |
324 B |
2025-05-23 07:46 |
| translate.html |
324 B |
2025-05-23 07:46 |
| trim,Column,character-method.html |
324 B |
2025-05-23 07:46 |
| trim,Column,missing-method.html |
324 B |
2025-05-23 07:46 |
| trim.html |
324 B |
2025-05-23 07:46 |
| trunc,Column-method.html |
328 B |
2025-05-23 07:46 |
| trunc.html |
328 B |
2025-05-23 07:46 |
| unbase64,Column-method.html |
324 B |
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| unbase64.html |
324 B |
2025-05-23 07:46 |
| uncacheTable.html |
11.0 KB |
2025-05-23 07:46 |
| unhex,Column-method.html |
320 B |
2025-05-23 07:46 |
| unhex.html |
320 B |
2025-05-23 07:46 |
| union,SparkDataFrame,SparkDataFrame-method.html |
288 B |
2025-05-23 07:46 |
| union.html |
17.1 KB |
2025-05-23 07:46 |
| unionAll,SparkDataFrame,SparkDataFrame-method.html |
294 B |
2025-05-23 07:46 |
| unionAll.html |
15.9 KB |
2025-05-23 07:46 |
| unionByName,SparkDataFrame,SparkDataFrame-method.html |
300 B |
2025-05-23 07:46 |
| unionByName.html |
19.0 KB |
2025-05-23 07:46 |
| unique,SparkDataFrame-method.html |
294 B |
2025-05-23 07:46 |
| unique.html |
294 B |
2025-05-23 07:46 |
| unix_timestamp,Column,character-method.html |
328 B |
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| unix_timestamp,Column,missing-method.html |
328 B |
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| unix_timestamp,missing,missing-method.html |
328 B |
2025-05-23 07:46 |
| unix_timestamp.html |
328 B |
2025-05-23 07:46 |
| unpersist,SparkDataFrame-method.html |
296 B |
2025-05-23 07:46 |
| unpersist.html |
15.9 KB |
2025-05-23 07:46 |
| unpivot,SparkDataFrame,ANY,ANY,character,character-method.html |
292 B |
2025-05-23 07:46 |
| unpivot.html |
18.7 KB |
2025-05-23 07:46 |
| unresolved_named_lambda_var.html |
10.1 KB |
2025-05-23 07:46 |
| upper,Column-method.html |
324 B |
2025-05-23 07:46 |
| upper.html |
324 B |
2025-05-23 07:46 |
| var,Column-method.html |
330 B |
2025-05-23 07:46 |
| var.html |
330 B |
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| var_pop,Column-method.html |
330 B |
2025-05-23 07:46 |
| var_pop.html |
330 B |
2025-05-23 07:46 |
| var_samp,Column-method.html |
330 B |
2025-05-23 07:46 |
| var_samp.html |
330 B |
2025-05-23 07:46 |
| variance,Column-method.html |
330 B |
2025-05-23 07:46 |
| variance.html |
330 B |
2025-05-23 07:46 |
| vector_to_array,Column-method.html |
316 B |
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| vector_to_array.html |
316 B |
2025-05-23 07:46 |
| weekofyear,Column-method.html |
328 B |
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| weekofyear.html |
328 B |
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| when,Column-method.html |
336 B |
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| when.html |
336 B |
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| where,SparkDataFrame,characterOrColumn-method.html |
290 B |
2025-05-23 07:46 |
| where.html |
290 B |
2025-05-23 07:46 |
| width_bucket,Column,Column,Column,Column-method.html |
320 B |
2025-05-23 07:46 |
| width_bucket,Column-method.html |
320 B |
2025-05-23 07:46 |
| width_bucket.html |
320 B |
2025-05-23 07:46 |
| window,Column-method.html |
328 B |
2025-05-23 07:46 |
| window.html |
328 B |
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| windowOrderBy,character-method.html |
304 B |
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| windowOrderBy,Column-method.html |
304 B |
2025-05-23 07:46 |
| windowOrderBy.html |
12.2 KB |
2025-05-23 07:46 |
| windowPartitionBy,character-method.html |
312 B |
2025-05-23 07:46 |
| windowPartitionBy,Column-method.html |
312 B |
2025-05-23 07:46 |
| windowPartitionBy.html |
12.6 KB |
2025-05-23 07:46 |
| WindowSpec.html |
9.3 KB |
2025-05-23 07:46 |
| with,SparkDataFrame-method.html |
286 B |
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| with.html |
16.2 KB |
2025-05-23 07:46 |
| withColumn,SparkDataFrame,character-method.html |
298 B |
2025-05-23 07:46 |
| withColumn.html |
18.4 KB |
2025-05-23 07:46 |
| withColumnRenamed,SparkDataFrame,character,character-method.html |
290 B |
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| withColumnRenamed.html |
290 B |
2025-05-23 07:46 |
| withField,Column,character,Column-method.html |
296 B |
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| withField,Column-method.html |
296 B |
2025-05-23 07:46 |
| withField.html |
12.1 KB |
2025-05-23 07:46 |
| withWatermark,SparkDataFrame,character,character-method.html |
304 B |
2025-05-23 07:46 |
| withWatermark.html |
18.1 KB |
2025-05-23 07:46 |
| write.df,SparkDataFrame-method.html |
294 B |
2025-05-23 07:46 |
| write.df.html |
19.5 KB |
2025-05-23 07:46 |
| write.jdbc,SparkDataFrame,character,character-method.html |
298 B |
2025-05-23 07:46 |
| write.jdbc.html |
18.1 KB |
2025-05-23 07:46 |
| write.json,SparkDataFrame,character-method.html |
298 B |
2025-05-23 07:46 |
| write.json.html |
16.8 KB |
2025-05-23 07:46 |
| write.ml,AFTSurvivalRegressionModel,character-method.html |
304 B |
2025-05-23 07:46 |
| write.ml,ALSModel,character-method.html |
296 B |
2025-05-23 07:46 |
| write.ml,BisectingKMeansModel,character-method.html |
320 B |
2025-05-23 07:46 |
| write.ml,DecisionTreeClassificationModel,character-method.html |
314 B |
2025-05-23 07:46 |
| write.ml,DecisionTreeRegressionModel,character-method.html |
314 B |
2025-05-23 07:46 |
| write.ml,FMClassificationModel,character-method.html |
314 B |
2025-05-23 07:46 |
| write.ml,FMRegressionModel,character-method.html |
312 B |
2025-05-23 07:46 |
| write.ml,FPGrowthModel,character-method.html |
306 B |
2025-05-23 07:46 |
| write.ml,GaussianMixtureModel,character-method.html |
320 B |
2025-05-23 07:46 |
| write.ml,GBTClassificationModel,character-method.html |
296 B |
2025-05-23 07:46 |
| write.ml,GBTRegressionModel,character-method.html |
296 B |
2025-05-23 07:46 |
| write.ml,GeneralizedLinearRegressionModel,character-method.html |
296 B |
2025-05-23 07:46 |
| write.ml,IsotonicRegressionModel,character-method.html |
302 B |
2025-05-23 07:46 |
| write.ml,KMeansModel,character-method.html |
302 B |
2025-05-23 07:46 |
| write.ml,LDAModel,character-method.html |
296 B |
2025-05-23 07:46 |
| write.ml,LinearRegressionModel,character-method.html |
294 B |
2025-05-23 07:46 |
| write.ml,LinearSVCModel,character-method.html |
308 B |
2025-05-23 07:46 |
| write.ml,LogisticRegressionModel,character-method.html |
300 B |
2025-05-23 07:46 |
| write.ml,MultilayerPerceptronClassificationModel,character-method.html |
296 B |
2025-05-23 07:46 |
| write.ml,NaiveBayesModel,character-method.html |
310 B |
2025-05-23 07:46 |
| write.ml,RandomForestClassificationModel,character-method.html |
314 B |
2025-05-23 07:46 |
| write.ml,RandomForestRegressionModel,character-method.html |
314 B |
2025-05-23 07:46 |
| write.ml.html |
10.6 KB |
2025-05-23 07:46 |
| write.orc,SparkDataFrame,character-method.html |
296 B |
2025-05-23 07:46 |
| write.orc.html |
16.7 KB |
2025-05-23 07:46 |
| write.parquet,SparkDataFrame,character-method.html |
304 B |
2025-05-23 07:46 |
| write.parquet.html |
16.8 KB |
2025-05-23 07:46 |
| write.stream,SparkDataFrame-method.html |
302 B |
2025-05-23 07:46 |
| write.stream.html |
21.7 KB |
2025-05-23 07:46 |
| write.text,SparkDataFrame,character-method.html |
298 B |
2025-05-23 07:46 |
| write.text.html |
17.0 KB |
2025-05-23 07:46 |
| xxhash64,Column-method.html |
320 B |
2025-05-23 07:46 |
| xxhash64.html |
320 B |
2025-05-23 07:46 |
| year,Column-method.html |
328 B |
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| year.html |
328 B |
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