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New Contributor III
since ‎07-06-2022

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I'm attempting to use MLFlow to register models in Databricks and am following the recipe at... i execute...mlflow.spark.log_model(pipeline, "lemmatizer", co...
I'm getting the error...AttributeError: 'SparkSession' object has no attribute '_wrapped'---------------------------------------------------------------------------AttributeError Traceback (most recent call last)<command-2311820097584616> in <cell li...
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, ...
the following code...from sparkdl.xgboost import XgboostRegressorfrom import Pipelineparams = {"n_estimators": 100, "learning_rate": 0.1, "max_depth": 4, "random_state": 42, "missing": 0}xgboost = XgboostRegressor(**params)pipeline = Pipel...
executing the following code...from databricks import automlsummary = automl.regress(train_df, target_col="price", primary_metric="rmse", timeout_minutes=5, max_trials=10)generates the error...ImportError: cannot import name 'automl' from 'databricks...
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