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Support multi class/label and categorical columns in Python API.

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PiperOrigin-RevId: 292215175
Change-Id: Id564a70a1b7519a86d1b6db603a9eb28663a8c13
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A. Unique TensorFlower 2020-01-29 14:09:22 -08:00 committed by TensorFlower Gardener
parent c10f7d7058
commit 0a77600894
4 changed files with 4 additions and 4 deletions
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2
tensorflow/tools/api/golden/v1/tensorflow.estimator.-boosted-trees-classifier.pbtxt
View File

@ -22,7 +22,7 @@ tf_class {
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\', \'center_bias\', \'pruning_mode\', \'quantile_sketch_epsilon\', \'train_in_memory\'], varargs=None, keywords=None, defaults=[\'None\', \'<object object instance>\', \'None\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'False\', \'none\', \'0.01\', \'False\'], "
argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\', \'center_bias\', \'pruning_mode\', \'quantile_sketch_epsilon\', \'train_in_memory\'], varargs=None, keywords=None, defaults=[\'None\', \'2\', \'None\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'False\', \'none\', \'0.01\', \'False\'], "
}
member_method {
name: "eval_dir"

2
tensorflow/tools/api/golden/v1/tensorflow.estimator.-boosted-trees-regressor.pbtxt
View File

@ -22,7 +22,7 @@ tf_class {
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'label_dimension\', \'weight_column\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\', \'center_bias\', \'pruning_mode\', \'quantile_sketch_epsilon\', \'train_in_memory\'], varargs=None, keywords=None, defaults=[\'None\', \'<object object instance>\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'False\', \'none\', \'0.01\', \'False\'], "
argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'label_dimension\', \'weight_column\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\', \'center_bias\', \'pruning_mode\', \'quantile_sketch_epsilon\', \'train_in_memory\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'False\', \'none\', \'0.01\', \'False\'], "
}
member_method {
name: "eval_dir"

2
tensorflow/tools/api/golden/v2/tensorflow.estimator.-boosted-trees-classifier.pbtxt
View File

@ -22,7 +22,7 @@ tf_class {
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\', \'center_bias\', \'pruning_mode\', \'quantile_sketch_epsilon\', \'train_in_memory\'], varargs=None, keywords=None, defaults=[\'None\', \'<object object instance>\', \'None\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'False\', \'none\', \'0.01\', \'False\'], "
argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\', \'center_bias\', \'pruning_mode\', \'quantile_sketch_epsilon\', \'train_in_memory\'], varargs=None, keywords=None, defaults=[\'None\', \'2\', \'None\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'False\', \'none\', \'0.01\', \'False\'], "
}
member_method {
name: "eval_dir"

2
tensorflow/tools/api/golden/v2/tensorflow.estimator.-boosted-trees-regressor.pbtxt
View File

@ -22,7 +22,7 @@ tf_class {
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'label_dimension\', \'weight_column\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\', \'center_bias\', \'pruning_mode\', \'quantile_sketch_epsilon\', \'train_in_memory\'], varargs=None, keywords=None, defaults=[\'None\', \'<object object instance>\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'False\', \'none\', \'0.01\', \'False\'], "
argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'label_dimension\', \'weight_column\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\', \'center_bias\', \'pruning_mode\', \'quantile_sketch_epsilon\', \'train_in_memory\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'False\', \'none\', \'0.01\', \'False\'], "
}
member_method {
name: "eval_dir"