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Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
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mrcity
by • New Contributor II
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Exclude absent lookup keys from dataframes made by create_training_set()

I've got data stored in feature tables, plus in a data lake. The feature tables are expected to lag the data lake by at least a little bit. I want to filter data coming out of the feature store by querying the data lake for lookup keys out of my inde...

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Quinten
New Contributor II
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I'm facing the same issue as described by @mrcity. There is no easy way to alter the dataframe, which is created inside the score_batch() function. Filtering out rows in the (sklearn) pipeline itself is also not convenient since these transformers ar...

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Nasreddin
by • New Contributor
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ColumnTransformer not fitted after sklearn Pipeline loaded from Mlflow

I am building a machine learning model using sklearn Pipeline which includes a ColumnTransformer as a preprocessor before the actual model. Below is the code how the pipeline is created.transformers = [] num_pipe = Pipeline(steps=[ ('imputer', Si...

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Kaniz_Fatma
Community Manager
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Hi @Nasreddin, MLflow is compatible with sklearn Pipeline with multiple steps. The error you're encountering, "This ColumnTransformer instance is not fitted yet. Call’ fit’ with appropriate arguments before using this estimator." is likely because  C...

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MudassarA
by • New Contributor II
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Resolved! How to fix TypeError: __init__() got an unexpected keyword argument 'max_iter'?

# Create the model using sklearn (don't worry about the parameters for now): model = SGDRegressor(loss='squared_loss', verbose=0, eta0=0.0003, max_iter=3000) Train/fit the model to the train-part of the dataset: odel.fit(X_train, y_train) ERROR: Typ...

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Fantomas_nl
New Contributor II
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Replacing max_iter with n_iter resolves the error. Thnx! It is a bit unusual to expect errors like this with this type of solution from Microsoft. As if it could not be prevented..

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AlexRomano
by • New Contributor
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PicklingError: Could not pickle the task to send it to the workers.

I am using sklearn in a databricks notebook to fit an estimator in parallel. Sklearn uses joblib with loky backend to do this. Now, I have file in databricks which I can import my custom Classifier from, and everything works fine. However, if I lite...

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Anonymous
Not applicable
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Hi, aromano I know this issue was opened almost a year ago, but I faced the same problem and I was able to solve it. So, I'm sharing the solution in order to help others. Probably, you're using SparkTrials to optimize the model's hyperparameters ...

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