Value of pca_impl Isn't Propagated to MOJO Model

[exalate-issue-sync[bot]]

Parameters passed to H2O-3 backend:

ignored_columns -> null impute_missing -> true seed -> 1 ignore_const_cols -> true max_runtime_secs -> 0.0 score_each_iteration -> false model_id -> null pca_method -> GramSVD compute_metrics -> true, pca_impl -> MTJ_EVD_SYMMMATRIX validation_frame -> frame_rdd_652001032667_part1 export_checkpoints_dir -> null max_iterations -> 1000 training_frame -> frame_rdd_652001032667_part0 use_all_factor_levels -> false transform -> NONE k -> 5

pca_impl value in MOJO Model json:

{code:json}{ "__meta": { "schema_version": 3, "schema_name": "ModelParameterSchemaV3", "schema_type": "Iced" }, "name": "pca_impl", "label": "pca_impl", "help": "Specify the implementation to use for computing PCA (via SVD or EVD): MTJ_EVD_DENSEMATRIX - eigenvalue decompositions for dense matrix using MTJ; MTJ_EVD_SYMMMATRIX - eigenvalue decompositions for symmetric matrix using MTJ; MTJ_SVD_DENSEMATRIX - singular-value decompositions for dense matrix using MTJ; JAMA - eigenvalue decompositions for dense matrix using JAMA. References: JAMA - http://math.nist.gov/javanumerics/jama/; MTJ - https://github.com/fommil/matrix-toolkits-java/", "required": false, "type": "enum", "default_value": null, "actual_value": null, "input_value": null, "level": "critical", "values": [ "MTJ_EVD_DENSEMATRIX", "MTJ_EVD_SYMMMATRIX", "MTJ_SVD_DENSEMATRIX", "JAMA" ], "is_member_of_frames": [], "is_mutually_exclusive_with": [], "gridable": false }{code}

[h2o-ops]

JIRA Issue Details

Jira Issue: PUBDEV-8217 Assignee: New H2O Bugs Reporter: Marek Novotny State: Open Fix Version: Backlog Attachments: N/A Development PRs: N/A