SQL functions for xgboost. More...

Functions
bytea	__serialize_pandas_dframe_as_bytea__ (text source_table, text id_column, text class_label, text features)

xgb_gridsearch_train_results_type	__xgboost_train_parallel__ (bytea dframe, text[] features_all, text class_label, text params, text class_weights, numeric train_set_size, text id_column, text train_set_split_var)

void	xgboost (text source_table, text grid_search_results_tbl, text id_column, text class_label, text list_of_features, text[] list_of_features_to_exclude=NULL, text params_str=NULL, text class_weights=NULL, numeric train_set_size=0.8, text train_set_split_var=NULL)

void	xgboost_predict (text scoring_tbl, text mdl_table, text predict_output_table, text id_column, text class_label=NULL, integer params_index=1)

Detailed Description

Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Date: 05/12/2022

Function Documentation

◆ __serialize_pandas_dframe_as_bytea__()

bytea __serialize_pandas_dframe_as_bytea__	(	text	source_table,
		text	id_column,
		text	class_label,
		text	features
	)

◆ __xgboost_train_parallel__()

xgb_gridsearch_train_results_type __xgboost_train_parallel__	(	bytea	dframe,
		text []	features_all,
		text	class_label,
		text	params,
		text	class_weights,
		numeric	train_set_size,
		text	id_column,
		text	train_set_split_var
	)

◆ xgboost()

void xgboost	(	text	source_table,
		text	grid_search_results_tbl,
		text	id_column,
		text	class_label,
		text	list_of_features,
		text []	list_of_features_to_exclude = `NULL`,
		text	params_str = `NULL`,
		text	class_weights = `NULL`,
		numeric	train_set_size = `0.8`,
		text	train_set_split_var = `NULL`
	)

◆ xgboost_predict()