Databricks Community

Data_Cowboy · 03-16-2023

When loading an xgboost model from mlflow following the provided instructions in Databricks hosted MLflow the input sizes I am showing on the job are over 1 TB. Is anyone else using an xgboost.spark model and noticing the same behavior? Below are som...

Data_Cowboy · 06-06-2022

Hi, I am trying to plot using pyspark.pandas running this sample code: speed = [0.1, 17.5, 40, 48, 52, 69, 88] lifespan = [2, 8, 70, 1.5, 25, 12, 28] index = ['snail', 'pig', 'elephant', 'rabbit', 'giraffe', 'coyote', 'horse'] psdf = ps.Data...

Data_Cowboy · 04-26-2024

@dbx-user7354 Glad to hear this solution worked out for you. Makes me feel good that I came back and answered my own post 

Data_Cowboy · 03-16-2023

Getting rid of the call to the full dbfs artifact path seemed to fix the issue for me.

Data_Cowboy · 06-07-2022

Thank you @Werner Stinckens . I was able to find the plotly documentation listed below and setting the output_type and calling displayHTML() helped remedy the error.

Data_Cowboy · 06-06-2022

Just wanted to follow up on this, using matplotlib as the backend circumvents this error. ps.set_option("plotting.backend", "matplotlib")

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Problems with xgboost.spark model loading from MLflow.

Plotting in pyspark.pandas Uncaught ReferenceError Plotly is not defined

Re: Problems with xgboost.spark model loading from MLflow.

Re: Problems with xgboost.spark model loading from MLflow.

Re: Plotting in pyspark.pandas Uncaught ReferenceError Plotly is not defined

Re: Plotting in pyspark.pandas Uncaught ReferenceError Plotly is not defined