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Machine Learning
Dive into the world of machine learning on the Databricks platform. Explore discussions on algorithms, model training, deployment, and more. Connect with ML enthusiasts and experts.
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Forum Posts

jonathan-dufaul
by Valued Contributor
  • 651 Views
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  • 1 kudos

is it possible to change the boilerplate code on a logged/saved pyfunc mlflow model?

When I log a pyfunc mlflow model, it generates a page that has this helpful code for using the model in production. Make Predictions Predict on a Spark DataFrame: import mlflow from pyspark.sql.functions import struct, col logged_model = 'runs:/1d......

  • 651 Views
  • 0 replies
  • 1 kudos
Slalom_Tobias
by New Contributor III
  • 1856 Views
  • 3 replies
  • 3 kudos

Resolved! ML Practioner | ML 11 - XGBoost notebook | cannot import keras.applications.resnet50

the following code...from sparkdl.xgboost import XgboostRegressorfrom pyspark.ml import Pipelineparams = {"n_estimators": 100, "learning_rate": 0.1, "max_depth": 4, "random_state": 42, "missing": 0}xgboost = XgboostRegressor(**params)pipeline = Pipel...

  • 1856 Views
  • 3 replies
  • 3 kudos
Latest Reply
Prabakar
Esteemed Contributor III
  • 3 kudos

You need to choose the runtime for ML instead of the standard.

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Slalom_Tobias
by New Contributor III
  • 1695 Views
  • 2 replies
  • 3 kudos

Resolved! ML Practioner | ML 10 - Feature Store notebook | feature_store import error

the following code...from pyspark.sql.functions import monotonically_increasing_id, lit, expr, randimport uuidfrom databricks import feature_storefrom pyspark.sql.types import StringType, DoubleTypefrom databricks.feature_store import feature_table, ...

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  • 3 kudos
Latest Reply
Anonymous
Not applicable
  • 3 kudos

Hope that was an easy fix - @Tobias Cortese​ ! Thanks for marking the "best answer"!

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