PUBDEV-8547 - eif scoring history - add score_each_iteration and scor…

…e_tree_interval to the documentation

h2o-docs/src/product/data-science/algo-params/score_each_iteration.rst

@@ -3,7 +3,7 @@
 ``score_each_iteration``
 ------------------------
 
-- Available in: GBM, DRF, Deep Learning, GLM, GAM, PCA, GLRM, Naïve-Bayes, K-Means, XGBoost, Isolation Forest, Uplift DRF
+- Available in: GBM, DRF, Deep Learning, GLM, GAM, PCA, GLRM, Naïve-Bayes, K-Means, XGBoost, Isolation Forest, Extended Isolation Forest, Uplift DRF
 - Hyperparameter: no
 
 

h2o-docs/src/product/data-science/algo-params/score_tree_interval.rst

@@ -3,7 +3,7 @@
 ``score_tree_interval``
 ------------------------
 
-- Available in: GBM, DRF, XGBoost, Isolation Forest, Uplift DRF
+- Available in: GBM, DRF, XGBoost, Isolation Forest, Extended Isolation Forest, Uplift DRF
 - Hyperparameter: no
 
 Description
@@ -84,4 +84,4 @@ Example
 		cars_gbm.train(x = predictors, y = response, training_frame = train, validation_frame = valid)
 
 		# print the model score every 5 trees
-		cars_gbm.scoring_history()
+		cars_gbm.scoring_history()

h2o-docs/src/product/data-science/eif.rst

@@ -43,6 +43,10 @@ Defining an Extended Isolation Forest Model
 
 -  `training_frame <algo-params/training_frame.html>`__: (Required) Specify the dataset used to build the model. **NOTE**: In Flow, if you click the **Build a model** button from the ``Parse`` cell, the training frame is entered automatically.
 
+-  `score_each_iteration <algo-params/score_each_iteration.html>`__: (Optional) Enable this option to score during each iteration of the model training (disabled by default).
+
+-  `score_tree_interval <algo-params/score_tree_interval.html>`__: Score the model after every so many trees. This value is set to 0 (disabled) by default.
+
 -  `ignored_columns <algo-params/ignored_columns.html>`__: (Optional, Python and Flow only) Specify the column or columns to be excluded from the model. In Flow, click the checkbox next to a column name to add it to the list of columns excluded from the model. To add all columns, click the **All** button. To remove a column from the list of ignored columns, click the X next to the column name. To remove all columns from the list of ignored columns, click the **None** button. To search for a specific column, type the column name in the **Search** field above the column list. To only show columns with a specific percentage of missing values, specify the percentage in the **Only show columns with more than 0% missing values** field. To change the selections for the hidden columns, use the **Select Visible** or **Deselect Visible** buttons.
 
 -  `ignore_const_cols <algo-params/ignore_const_cols.html>`__: Specify whether to ignore constant training columns, since no information can be gained from them. This option defaults to true (enabled).