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Trying to fix the BIN file inference in git

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Umachandar Jayachandran
2018-11-07 11:00:05 -08:00
parent 2d2104ea09
commit 63e8050e87
1 changed files with 4 additions and 4 deletions
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samples/features/sql-big-data-cluster/machine-learning/sql/python/book-click-prediction-py.sql
+4 -4
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@@ -16,7 +16,7 @@ BEGIN
, @input_query nvarchar(max)
, @train_script nvarchar(max)
-- Set the input query for training. We will use 80% of the data.
-- Set the input query for training. We will use 80% of the data.
SET @input_query = N'
SELECT TOP(80) PERCENT SIGN(q.clicks_in_category) AS book_category
, q.college_education
@@ -32,8 +32,8 @@ SELECT TOP(80) PERCENT SIGN(q.clicks_in_category) AS book_category
, q.clicks_in_9
FROM web_clickstreams_hdfs_book_clicks as q
';
-- Training R script that uses rxLogit function from RevoScaleR package (Microsoft R Server) to generate model to predict book_category click(s).
SET @train_script = N'
-- Training that uses rx_logit function from revoscalepy package (Microsoft ML Server) to generate model to predict book_category click(s).
SET @train_script = N'
# build classification model to predict book_category
import pickle
from revoscalepy import rx_logit, rx_serialize_model
@@ -92,4 +92,4 @@ SELECT TOP(100)
, w.clicks_in_9 AS [Sports & Outdoors]
FROM PREDICT(MODEL = @sales_model, DATA = web_clickstreams_hdfs_book_clicks as w) WITH ("book_category_Pred" float) as p
WHERE p.book_category_Pred <> SIGN(w.clicks_in_category);
GO
GO