sfguide-getting-started-machine-learning
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snowflake-snowpark-python[pandas]==1.3.0 #0.10.0 results in a 'MemoryError' error while creating a new connection. Replacing it with "snowflake-snowpark-python" directly under dependencies solves the issue. **Error with snowflake-snowpark-python[pandas]==1.3.0:** **Change the dependencies list to...
When going through the example solution for the XGBoost enhancement (4_1_SOLUTION_additional_models_xgboost.ipynb) to the solution I get the following error in cell 19: %%time scored_sdf = test_sdf.with_column('PREDICTION', udf_score_logistic_xgboost_model_vec_cached(*feature_cols)) scored_sdf.write.save_as_table(table_name='CREDIT_RISK_PREPARED_BALANCED_TEST_SCORED', mode='overwrite') When...
Not a good look (or leadership) to have auth credentials embedded in any cell. Leverage dotenv and os modules to get creds from the .env file in the local repo....
Very minor. Numeric and categorial comments were swapped.
The "Python Environment Setup" step points to the wrong lab, current: `git clone [email protected]:Snowflake-Labs/sfguide-getting-started-snowpark-python.git cd getting-started-snowpark-python/customer-churn-prediction` Should be `git clone [email protected]:Snowflake-Labs/sfguide-getting-started-machine-learning.git cd sfguide-getting-started-machine-learning` The exercises/demos/etc (notebooks) is using the ACCOUNTADMIN...
Currently uncategorized.
Should be changed to "Exercise" throughout when we have the opportunity.