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FS client API updates #3

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FS client API updates #3

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c16df9d
Minor updates based on DBR ML 10.2b
aelhelouDB Dec 8, 2021
e9f4b53
Merge pull request #7 from aelhelouDB/develop
aelhelouDB Dec 8, 2021
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14 changes: 8 additions & 6 deletions ...wind-turbine/02-Data Science/02-Wind Turbine FeatureStore + GBC Predictive Maintenance.py
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Original file line number Diff line number Diff line change
Expand Up @@ -77,8 +77,8 @@

# COMMAND ----------

# DBTITLE 1,Display summary statistics
display(dataset_cleanDF[sensor_features].summary())
# DBTITLE 1,Display summary statistics using Databrick's "summarize"
dbutils.data.summarize(dataset_cleanDF[sensor_features+output])

# COMMAND ----------

Expand Down Expand Up @@ -211,17 +211,19 @@ def compute_damage_response(data):

fs = FeatureStoreClient()

sensor_features_table = fs.create_feature_table(
sensor_features_table = fs.create_table(
name = sensor_features_table_name,
keys = key,
schema = sensor_featuresDF.schema,
#df = sensor_featuresDF, Create and write
description = 'Raw sensor data and Torque/Speed'
)

time_features_table = fs.create_feature_table(
time_features_table = fs.create_table(
name = season_features_table_name,
keys = key,
schema = season_featuresDF.schema,
#df = season_featuresDF, Create and write
description = 'Seasonal/Cyclical features calculated from Month and Hour'
)

Expand Down Expand Up @@ -280,8 +282,8 @@ def generate_lookups_per_table(table, key="TIMESTAMP"):
# DBTITLE 1,Get handle for feature tables
# from databricks.feature_store import FeatureStoreClient
# fs = FeatureStoreClient()
sensor_features_table = fs.get_feature_table(sensor_features_table_name)
season_features_table = fs.get_feature_table(season_features_table_name)
sensor_features_table = fs.get_table(sensor_features_table_name)
season_features_table = fs.get_table(season_features_table_name)

# Get list of all FeatureLookup handles
# all_feature_lookups = generate_lookups_per_table(sensor_features_table) + generate_lookups_per_table(season_features_table)
Expand Down