Searched refs:linear_model (Results 1 – 9 of 9) sorted by relevance
| /external/tensorflow/tensorflow/python/feature_column/ |
| D | feature_column_test.py | 360 predictions = fc.linear_model(features, [price])
560 predictions = fc.linear_model(features, [bucketized_price])
588 predictions = fc.linear_model(features, [bucketized_price])
872 predictions = fc.linear_model({
1140 predictions = fc.linear_model({
1197 fc.linear_model({
1339 fc.linear_model(features={}, feature_columns=[])
1343 fc.linear_model(features={'a': [[0]]}, feature_columns='NotSupported')
1362 fc.linear_model(
1368 fc.linear_model(
[all …]
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| D | feature_column_v2_test.py | 437 predictions = fc_old.linear_model(features, [price])
726 predictions = fc_old.linear_model(features, [bucketized_price])
754 predictions = fc_old.linear_model(features, [bucketized_price])
783 predictions = fc_old.linear_model(features, [bucketized_price])
1052 predictions = fc_old.linear_model({
1420 predictions = fc_old.linear_model({
1503 fc_old.linear_model({
1530 predictions = fc_old.linear_model({
2301 fc_old.linear_model(features={}, feature_columns=[])
2305 fc_old.linear_model(features={'a': [[0]]}, feature_columns='NotSupported')
[all …]
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| D | feature_column.py | 369 def linear_model(features, function
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| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| D | feature_column_ops_test.py | 1624 logits_core = fc_core.linear_model(features, [hashed_sparse], units=5)
1642 logits_core = fc_core.linear_model(features, [hashed_sparse], units=5)
1656 logits_core = fc_core.linear_model(features, [hashed_sparse], units=5)
1678 logits_core = fc_core.linear_model(features, [weighted_ids], units=5)
1696 logits_core = fc_core.linear_model(features, [weighted_ids], units=5)
1718 logits_core = fc_core.linear_model(features, [crossed], units=5)
1757 logits_core = fc_core.linear_model(features, [movies])
1815 output_core = fc_core.linear_model(
2230 output_core = fc_core.linear_model(features, [bucket])
2261 output_core = fc_core.linear_model(features, [bucket, country])
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.feature_column.pbtxt | 40 name: "linear_model"
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| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| D | linear.py | 171 logits = fc_core.linear_model(
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| D | dnn_linear_combined.py | 312 linear_logits = fc_core.linear_model(
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| /external/tensorflow/tensorflow/python/training/ |
| D | warm_starting_util_test.py | 104 fc.linear_model(
1145 fc.linear_model(
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| /external/tensorflow/tensorflow/examples/udacity/ |
| D | 1_notmnist.ipynb | 56 "from sklearn.linear_model import LogisticRegression\n",
792 …000 training samples. Hint: you can use the LogisticRegression model from sklearn.linear_model.\n",
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