## Copyright (c) 2021, NVIDIA CORPORATION.## Licensed 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.#frommerlin.core.dispatchimportDataFrameType,annotatefromnvtabular.ops.operatorimportColumnSelector,Operator
[docs]classDropna(Operator):""" This operation detects and filters out rows with missing values. Example usage:: # Use Dropna to define a NVTabular workflow # Default is None and will check all columns dropna_features = ['cat1', 'num1'] >> ops.Dropna() >> ... processor = nvtabular.Workflow(dropna_features) """