Koalas is great! This really helps ease the transition from Pandas to Spark, because you can just use the same Pandas functions/classes through the Koalas API but everything runs in the background in Spark.
The fmin function should be of the form:def evaluate_hyperparams(params):
"""
This method will be passed to `hyperopt.fmin()`. It fits and evaluates the model using the given hyperparameters to get the validation loss.
:param params: This d...
Found the answer - not available in the UI, but via API, you can submit the cluster definition with "aws_attributes": {
"zone_id": "auto"
},This is documented in the Cluster API: https://docs.databricks.com/dev-tools/api/latest/clusters.html#aw...
MLflow Projects - these are a standardized way to package up code related to a specific data science or machine learning "project". For example, if you have a workflow to pre-process data (step 1) and train a model (step 2), you could package this up...
