50 lines
1.9 KiB
Python
50 lines
1.9 KiB
Python
################################################################################
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# Copyright (c) 2015-2018 Skymind, Inc.
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#
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# This program and the accompanying materials are made available under the
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# terms of the Apache License, Version 2.0 which is available at
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# https://www.apache.org/licenses/LICENSE-2.0.
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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#
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# SPDX-License-Identifier: Apache-2.0
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################################################################################
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from ..ndarray import ndarray
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from ..java_classes import JDataset
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class Dataset(object):
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def __init__(self, features, labels, features_mask=None, labels_mask=None):
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self.features = ndarray(features)
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self.labels = ndarray(labels)
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if features_mask is None:
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self.features_mask = None
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else:
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self.features_mask = ndarray(features_mask)
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if labels_mask is None:
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self.labels_mask = None
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else:
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self.labels_mask = ndarray(labels_mask)
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def to_java(self):
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return JDataset(self.features.array, self.labels.array, self.features_mask, self.labels_mask)
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def __getstate__(self):
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return [self.features.numpy(),
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self.labels.numpy(),
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self.features_mask.numpy() if self.features_mask is not None else None,
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self.labels_mask.numpy() if self.labels_mask is not None else None]
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def __setstate__(self, state):
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ds = Dataset(*state)
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self.features = ds.features
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self.labels = ds.labels
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self.features_mask = ds.features_mask
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self.labels_mask = ds.labels_mask
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