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[budi] update python sdk quickstart #196

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merged 2 commits into from
May 17, 2019
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[budi] update python sdk quickstart #196

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cffb00c
[budi] update python sdk quickstart
budi May 16, 2019
9b33b80
remove datastore IDs
budi May 16, 2019
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80 changes: 45 additions & 35 deletions sdk/python/examples/quickstart/Quickstart.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -18,8 +18,7 @@
"import feast.specs.FeatureSpec_pb2 as feature_pb\n",
"\n",
"from feast.sdk.importer import Importer\n",
"\n",
"from feast.sdk.client import Client, ServingRequestType"
"from feast.sdk.client import Client"
]
},
{
Expand Down Expand Up @@ -124,19 +123,13 @@
"# Initialise client\n",
"fs = Client(core_url=FEAST_CORE_URL, verbose=True)\n",
"\n",
"serving_ds=Datastore(id='REDIS1')\n",
"warehouse_ds=Datastore(id='NOOP')\n",
"\n",
"# Create importer\n",
"importer = Importer.from_df(df_complete, \n",
" entity='ride', \n",
" granularity=Granularity.NONE,\n",
" owner='user@website.com', \n",
" staging_location=STAGING_LOCATION,\n",
" id_column='ride', \n",
" timestamp_column='pickup_datetime',\n",
" serving_store=serving_ds,\n",
" warehouse_store=warehouse_ds)\n",
" timestamp_column='pickup_datetime')\n",
"\n",
"# Update feature and entity metadata. Ideally you want to update these manually\n",
"# so that they contain adequate information for the next user\n",
Expand Down Expand Up @@ -168,18 +161,18 @@
"# Retrieving data: Training\n",
"\n",
"feature_set = FeatureSet(entity=\"ride\", \n",
" features=[\"ride.none.log_trip_duration\", \n",
" \"ride.none.distance_haversine\",\n",
" \"ride.none.distance_dummy_manhattan\",\n",
" \"ride.none.direction\",\n",
" \"ride.none.month\",\n",
" \"ride.none.day_of_month\",\n",
" \"ride.none.hour\",\n",
" \"ride.none.day_of_week\",\n",
" \"ride.none.vi_1\",\n",
" \"ride.none.vi_2\",\n",
" \"ride.none.sf_n\",\n",
" \"ride.none.sf_y\"])\n",
" features=[\"ride.log_trip_duration\", \n",
" \"ride.distance_haversine\",\n",
" \"ride.distance_dummy_manhattan\",\n",
" \"ride.direction\",\n",
" \"ride.month\",\n",
" \"ride.day_of_month\",\n",
" \"ride.hour\",\n",
" \"ride.day_of_week\",\n",
" \"ride.vi_1\",\n",
" \"ride.vi_2\",\n",
" \"ride.sf_n\",\n",
" \"ride.sf_y\"])\n",
"dataset_info = fs.create_dataset(feature_set, \"2016-06-01\", \"2016-08-01\")\n",
"dataset = fs.download_dataset_to_df(dataset_info, staging_location=STAGING_LOCATION)\n",
"\n",
Expand Down Expand Up @@ -210,25 +203,33 @@
"fs = Client(serving_url=FEAST_SERVING_URL, verbose=True)\n",
"\n",
"feature_set = FeatureSet(entity=\"ride\", \n",
" features=[\"ride.none.log_trip_duration\", \n",
" \"ride.none.distance_haversine\",\n",
" \"ride.none.distance_dummy_manhattan\",\n",
" \"ride.none.direction\",\n",
" \"ride.none.month\",\n",
" \"ride.none.day_of_month\",\n",
" \"ride.none.hour\",\n",
" \"ride.none.day_of_week\",\n",
" \"ride.none.vi_1\",\n",
" \"ride.none.vi_2\",\n",
" \"ride.none.sf_n\",\n",
" \"ride.none.sf_y\"])\n",
" features=[\"ride.log_trip_duration\", \n",
" \"ride.distance_haversine\",\n",
" \"ride.distance_dummy_manhattan\",\n",
" \"ride.direction\",\n",
" \"ride.month\",\n",
" \"ride.day_of_month\",\n",
" \"ride.hour\",\n",
" \"ride.day_of_week\",\n",
" \"ride.vi_1\",\n",
" \"ride.vi_2\",\n",
" \"ride.sf_n\",\n",
" \"ride.sf_y\"])\n",
"\n",
"# retrieve features\n",
"feats = fs.get_serving_data(feature_set, entity_keys=[\"id2875421\",\"id1244481\"])\n",
"feats.head()\n",
"\n",
"# Feed data into model\n",
"# ..."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -247,9 +248,18 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.1"
"version": "3.6.7"
},
"pycharm": {
"stem_cell": {
"cell_type": "raw",
"source": [],
"metadata": {
"collapsed": false
}
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}
}