# Copyright 2019 IBM 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.

import sklearn.neighbors

# class that follows scikit-learn conventions but lacks schemas,
# for the purpose of testing how to wrap an operator without schemas

class UnknownOp:
    def __init__(self, n_neighbors=5, algorithm='auto'):
        self._hyperparams = {
            'n_neighbors': n_neighbors, 'algorithm': algorithm}

    def get_params(self, deep:bool=False):
        return self._hyperparams

    def fit(self, X, y):
        self._wrapped_model = sklearn.neighbors.KNeighborsClassifier(
            **self._hyperparams)

    def predict(self, X):
        return self._wrapped_model.predict(X)

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