kn_example_bigdata_h2o_automl_spark
This directory contains 13 workflows.
m_000_create_directory_structure
Creates a standard folder structure relative to your current KNIME folder. The main folder would hold your KNIME workflows, the (sub-) folders would hold […]
s_400_spark_h2o_automl_about_this_collection
Use Big Data Technologies like Spark to get a robust and scalable data preparation. Use the latest Auo ML technology like H2O.ai AutoML to cretae a robust […]
s_401_spark_label_encoder
s_401 - prepare label encoding with spark prepare the preparation of data in a big data environment - label encode string variables - transform numbers into […]
s_405_spark_prepare_data
apply the label encoding and other transformations stored in SQL code and the selected final column as RegEx string. Get the results back and export them to […]
s_410_h2o_automl_classification_python
H2O.ai AutoML in KNIME for classification problems a powerful auto-machine-learning […]
s_415_h2o_automl_classification_r
H2O.ai AutoML (wrapped with R) in KNIME for classification problems - a powerful auto-machine-learning […]
s_420_spark_h2o_apply
s_420 - this is how your daily production workflow could look like. You have the stored lists and rules how to prepare the data and you have the H2O.ai […]
s_430_spark_h2o_apply_normalized
s_430 - this is how your daily production workflow could look like. You have the stored lists and rules how to prepare the data and you have the H2O.ai […]