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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.
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R doesn't respect the TwoDimTable's column types #14799

Closed exalate-issue-sync[bot] closed 1 year ago

exalate-issue-sync[bot] commented 1 year ago

h2o.deeplearning(training_frame=as.h2o(iris),x=1:5,autoencoder=T) |==========================================================================| 100% |==========================================================================| 100% Model Details:

H2OAutoEncoderModel: deeplearning Model ID: DeepLearning_model_R_1438842743948_5 Status of Neuron Layers: layer units type dropout l1 l2 mean_rate rate_RMS 1 1.000000 8.000000 Input 0.00 %
2 2.000000 200.000000 Rectifier 0.00 % 0.000000 0.000000 0.130473 0.337426 3 3.000000 200.000000 Rectifier 0.00 % 0.000000 0.000000 0.030491 0.137360 4 4.000000 8.000000 Rectifier 0.000000 0.000000 0.282638 0.445130 momentum mean_weight weight_RMS mean_bias bias_RMS 1
2 0.000000 0.009549 0.101649 0.735728 0.135708 3 0.000000 0.010358 0.074867 1.016889 0.047089 4 0.000000 -0.001275 0.099388 -0.004000 0.003179

The layer and units column values should be printed as integers.

Their column type is "int", their format string is "%d".

DinukaH2O commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-1841 Assignee: Spencer Butt Reporter: Arno Candel State: Resolved Fix Version: N/A Attachments: N/A Development PRs: N/A