Lines Matching full:models
75 <h1><a href="bigquery_v2.html">BigQuery API</a> . <a href="bigquery_v2.models.html">models</a></h1>
88 …models in the specified dataset. Requires the READER dataset role. After retrieving the list of mo…
132 …models will be deleted and their storage reclaimed. The defaultTableExpirationMs property of the e…
162 …associated with this model. You can use these to organize and group your models. Label keys and va…
187 …r eval data was used during training. These are not present for imported models. # The evaluation …
188 …ics": { # Model evaluation metrics for ARIMA forecasting models. # Populated for ARIMA models.
238 …metrics for binary classification/classifier models. # Populated for binary classification/classif…
239 …s": { # Aggregate metrics for classification/classifier models. For multi-class models, the m…
246 …computed. For binary classification models this is the positive class threshold. For multi-class c…
249 { # Confusion matrix for binary classification models.
264 …ringMetrics": { # Evaluation metrics for clustering models. # Populated for clustering models.
288 …for multi-class classification/classifier models. # Populated for multi-class classification/class…
289 …s": { # Aggregate metrics for classification/classifier models. For multi-class models, the m…
296 …computed. For binary classification models this is the positive class threshold. For multi-class c…
299 { # Confusion matrix for multi-class classification models.
315 …used by weighted-ALS models specified by feedback_type=implicit. # Populated for implicit feedback…
318 …he mean squared error computed in regression and explicit recommendation models except instead of …
321 …k type matrix factorization models. # Populated for regression models and explicit feedback type m…
343 "batchSize": "A String", # Batch size for dnn models.
344 "boosterType": "A String", # Booster type for boosted tree models.
346 …;colsampleBylevel": 3.14, # Subsample ratio of columns for each level for boosted tree models.
347 …ampleBynode": 3.14, # Subsample ratio of columns for each node(split) for boosted tree models.
348 …tree": 3.14, # Subsample ratio of columns when constructing each tree for boosted tree models.
349 …"A String", # Type of normalization algorithm for boosted tree models using dart booster.
355 "distanceType": "A String", # Distance type for clustering models.
356 "dropout": 3.14, # Dropout probability for dnn models.
359 "hiddenUnits": [ # Hidden units for dnn models.
369 …ot;itemColumn": "A String", # Item column specified for matrix factorization models.
374 …ith each label class, for rebalancing the training data. Only applicable for classification models.
381 … "maxTreeDepth": "A String", # Maximum depth of a tree for boosted tree models.
383 "minSplitLoss": 3.14, # Minimum split loss for boosted tree models.
384 …: "A String", # Minimum sum of instance weight needed in a child for boosted tree models.
385 … # Google Cloud Storage URI from which the model was imported. Only applicable for imported models.
391 "numClusters": "A String", # Number of clusters for clustering models.
392 …ot;numFactors": "A String", # Num factors specified for matrix factorization models.
393 …String", # Number of parallel trees constructed during each iteration for boosted tree models.
394 …trategy": "A String", # Optimization strategy for training linear regression models.
396 …ubsample fraction of the training data to grow tree to prevent overfitting for boosted tree models.
403 …quot;treeMethod": "A String", # Tree construction algorithm for boosted tree models.
404 …ot;userColumn": "A String", # User column specified for matrix factorization models.
415 …models in the specified dataset. Requires the READER dataset role. After retrieving the list of mo…
418 projectId: string, Required. Project ID of the models to list. (required)
419 datasetId: string, Required. Dataset ID of the models to list. (required)
427 …"models": [ # Models in the requested dataset. Only the following fields are populated: …
436 …models will be deleted and their storage reclaimed. The defaultTableExpirationMs property of the e…
466 …associated with this model. You can use these to organize and group your models. Label keys and va…
491 …r eval data was used during training. These are not present for imported models. # The evaluation …
492 …ics": { # Model evaluation metrics for ARIMA forecasting models. # Populated for ARIMA models.
542 …metrics for binary classification/classifier models. # Populated for binary classification/classif…
543 …s": { # Aggregate metrics for classification/classifier models. For multi-class models, the m…
550 …computed. For binary classification models this is the positive class threshold. For multi-class c…
553 { # Confusion matrix for binary classification models.
568 …ringMetrics": { # Evaluation metrics for clustering models. # Populated for clustering models.
592 …for multi-class classification/classifier models. # Populated for multi-class classification/class…
593 …s": { # Aggregate metrics for classification/classifier models. For multi-class models, the m…
600 …computed. For binary classification models this is the positive class threshold. For multi-class c…
603 { # Confusion matrix for multi-class classification models.
619 …used by weighted-ALS models specified by feedback_type=implicit. # Populated for implicit feedback…
622 …he mean squared error computed in regression and explicit recommendation models except instead of …
625 …k type matrix factorization models. # Populated for regression models and explicit feedback type m…
647 "batchSize": "A String", # Batch size for dnn models.
648 "boosterType": "A String", # Booster type for boosted tree models.
650 …;colsampleBylevel": 3.14, # Subsample ratio of columns for each level for boosted tree models.
651 …ampleBynode": 3.14, # Subsample ratio of columns for each node(split) for boosted tree models.
652 …tree": 3.14, # Subsample ratio of columns when constructing each tree for boosted tree models.
653 …"A String", # Type of normalization algorithm for boosted tree models using dart booster.
659 "distanceType": "A String", # Distance type for clustering models.
660 "dropout": 3.14, # Dropout probability for dnn models.
663 "hiddenUnits": [ # Hidden units for dnn models.
673 …ot;itemColumn": "A String", # Item column specified for matrix factorization models.
678 …ith each label class, for rebalancing the training data. Only applicable for classification models.
685 … "maxTreeDepth": "A String", # Maximum depth of a tree for boosted tree models.
687 "minSplitLoss": 3.14, # Minimum split loss for boosted tree models.
688 …: "A String", # Minimum sum of instance weight needed in a child for boosted tree models.
689 … # Google Cloud Storage URI from which the model was imported. Only applicable for imported models.
695 … "numClusters": "A String", # Number of clusters for clustering models.
696 …ot;numFactors": "A String", # Num factors specified for matrix factorization models.
697 …String", # Number of parallel trees constructed during each iteration for boosted tree models.
698 …trategy": "A String", # Optimization strategy for training linear regression models.
700 …ubsample fraction of the training data to grow tree to prevent overfitting for boosted tree models.
707 …quot;treeMethod": "A String", # Tree construction algorithm for boosted tree models.
708 …ot;userColumn": "A String", # User column specified for matrix factorization models.
753 …models will be deleted and their storage reclaimed. The defaultTableExpirationMs property of the e…
783 …associated with this model. You can use these to organize and group your models. Label keys and va…
808 …r eval data was used during training. These are not present for imported models. # The evaluation …
809 …ics": { # Model evaluation metrics for ARIMA forecasting models. # Populated for ARIMA models.
859 …metrics for binary classification/classifier models. # Populated for binary classification/classif…
860 …s": { # Aggregate metrics for classification/classifier models. For multi-class models, the m…
867 …computed. For binary classification models this is the positive class threshold. For multi-class c…
870 { # Confusion matrix for binary classification models.
885 …ringMetrics": { # Evaluation metrics for clustering models. # Populated for clustering models.
909 …for multi-class classification/classifier models. # Populated for multi-class classification/class…
910 …s": { # Aggregate metrics for classification/classifier models. For multi-class models, the m…
917 …computed. For binary classification models this is the positive class threshold. For multi-class c…
920 { # Confusion matrix for multi-class classification models.
936 …used by weighted-ALS models specified by feedback_type=implicit. # Populated for implicit feedback…
939 …he mean squared error computed in regression and explicit recommendation models except instead of …
942 …k type matrix factorization models. # Populated for regression models and explicit feedback type m…
964 "batchSize": "A String", # Batch size for dnn models.
965 "boosterType": "A String", # Booster type for boosted tree models.
967 …;colsampleBylevel": 3.14, # Subsample ratio of columns for each level for boosted tree models.
968 …ampleBynode": 3.14, # Subsample ratio of columns for each node(split) for boosted tree models.
969 …tree": 3.14, # Subsample ratio of columns when constructing each tree for boosted tree models.
970 …"A String", # Type of normalization algorithm for boosted tree models using dart booster.
976 "distanceType": "A String", # Distance type for clustering models.
977 "dropout": 3.14, # Dropout probability for dnn models.
980 "hiddenUnits": [ # Hidden units for dnn models.
990 …ot;itemColumn": "A String", # Item column specified for matrix factorization models.
995 …ith each label class, for rebalancing the training data. Only applicable for classification models.
1002 … "maxTreeDepth": "A String", # Maximum depth of a tree for boosted tree models.
1004 "minSplitLoss": 3.14, # Minimum split loss for boosted tree models.
1005 …: "A String", # Minimum sum of instance weight needed in a child for boosted tree models.
1006 … # Google Cloud Storage URI from which the model was imported. Only applicable for imported models.
1012 "numClusters": "A String", # Number of clusters for clustering models.
1013 …ot;numFactors": "A String", # Num factors specified for matrix factorization models.
1014 …String", # Number of parallel trees constructed during each iteration for boosted tree models.
1015 …trategy": "A String", # Optimization strategy for training linear regression models.
1017 …ubsample fraction of the training data to grow tree to prevent overfitting for boosted tree models.
1024 …quot;treeMethod": "A String", # Tree construction algorithm for boosted tree models.
1025 …ot;userColumn": "A String", # User column specified for matrix factorization models.
1045 …models will be deleted and their storage reclaimed. The defaultTableExpirationMs property of the e…
1075 …associated with this model. You can use these to organize and group your models. Label keys and va…
1100 …r eval data was used during training. These are not present for imported models. # The evaluation …
1101 …ics": { # Model evaluation metrics for ARIMA forecasting models. # Populated for ARIMA models.
1151 …metrics for binary classification/classifier models. # Populated for binary classification/classif…
1152 …s": { # Aggregate metrics for classification/classifier models. For multi-class models, the m…
1159 …computed. For binary classification models this is the positive class threshold. For multi-class c…
1162 { # Confusion matrix for binary classification models.
1177 …ringMetrics": { # Evaluation metrics for clustering models. # Populated for clustering models.
1201 …for multi-class classification/classifier models. # Populated for multi-class classification/class…
1202 …s": { # Aggregate metrics for classification/classifier models. For multi-class models, the m…
1209 …computed. For binary classification models this is the positive class threshold. For multi-class c…
1212 { # Confusion matrix for multi-class classification models.
1228 …used by weighted-ALS models specified by feedback_type=implicit. # Populated for implicit feedback…
1231 …he mean squared error computed in regression and explicit recommendation models except instead of …
1234 …k type matrix factorization models. # Populated for regression models and explicit feedback type m…
1256 "batchSize": "A String", # Batch size for dnn models.
1257 "boosterType": "A String", # Booster type for boosted tree models.
1259 …;colsampleBylevel": 3.14, # Subsample ratio of columns for each level for boosted tree models.
1260 …ampleBynode": 3.14, # Subsample ratio of columns for each node(split) for boosted tree models.
1261 …tree": 3.14, # Subsample ratio of columns when constructing each tree for boosted tree models.
1262 …"A String", # Type of normalization algorithm for boosted tree models using dart booster.
1268 "distanceType": "A String", # Distance type for clustering models.
1269 "dropout": 3.14, # Dropout probability for dnn models.
1272 "hiddenUnits": [ # Hidden units for dnn models.
1282 …ot;itemColumn": "A String", # Item column specified for matrix factorization models.
1287 …ith each label class, for rebalancing the training data. Only applicable for classification models.
1294 … "maxTreeDepth": "A String", # Maximum depth of a tree for boosted tree models.
1296 "minSplitLoss": 3.14, # Minimum split loss for boosted tree models.
1297 …: "A String", # Minimum sum of instance weight needed in a child for boosted tree models.
1298 … # Google Cloud Storage URI from which the model was imported. Only applicable for imported models.
1304 "numClusters": "A String", # Number of clusters for clustering models.
1305 …ot;numFactors": "A String", # Num factors specified for matrix factorization models.
1306 …String", # Number of parallel trees constructed during each iteration for boosted tree models.
1307 …trategy": "A String", # Optimization strategy for training linear regression models.
1309 …ubsample fraction of the training data to grow tree to prevent overfitting for boosted tree models.
1316 …quot;treeMethod": "A String", # Tree construction algorithm for boosted tree models.
1317 …ot;userColumn": "A String", # User column specified for matrix factorization models.