ModelCategory metadata is wrong for at least some builders

h2oai / h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Apache License 2.0

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http://127.0.0.1:54321/3/Metadata/schemas/GLMV3 returns this field:

            {
                "__meta": {
                    "schema_version": 3,
                    "schema_name": "FieldMetadataV3",
                    "schema_type": "FieldMetadata"
                },
                "name": "can_build",
                "type": "enum[]",
                "is_schema": false,
                "schema_name": "ModelCategory",
                "value": null,
                "help": "Model categories this ModelBuilder can build.",
                "label": "can_build",
                "required": false,
                "level": "critical",
                "direction": "OUTPUT",
                "values": [
                    "Unknown",
                    "Binomial",
                    "Multinomial",
                    "Regression",
                    "Clustering",
                    "AutoEncoder",
                    "DimReduction"
                ],

Should be only Binomial and Regression.

All the algos need to be checked.

h2oai / h2o-3

ModelCategory metadata is wrong for at least some builders #14791