2020-10-15 17:11:29 -05:00

42 lines
1.5 KiB
Python

# Licensed to Elasticsearch B.V. under one or more contributor
# license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright
# ownership. Elasticsearch B.V. 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.
from typing import Any, Optional, Sequence
from .._model_serializer import ModelSerializer
class ModelTransformer:
def __init__(
self,
model: Any,
feature_names: Sequence[str],
classification_labels: Optional[Sequence[str]] = None,
classification_weights: Optional[Sequence[float]] = None,
):
self._feature_names = feature_names
self._model = model
self._classification_labels = classification_labels
self._classification_weights = classification_weights
def transform(self) -> ModelSerializer:
raise NotImplementedError()
@property
def model_type(self) -> str:
raise NotImplementedError()