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this (python):
predictors = ['DayOfWeek', 'WC1', 'start station name', 'Temperature (C)', 'Days', 'Month', 'Humidity Fraction', 'Rain (mm)', 'Dew Point (C)']
train = h2o.import_file(h2o.locate("sm…
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pyunit_javapredict_dynamic_data_paramsKmeans.py
{code}
[2015-12-09 20:49:49] Connect to h2o on IP: 127.0.0.1 PORT: 57789
-------------------------- -------------------------------------
H2O clu…
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Good day
I am a final year student looking to implement this model training code using a pytorch framework instead of tensorflow. Do you think that is possible? After going through your paper and i…
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master
H2O Build git hash 0e634f3935402b7af319d871f00e7aa7e60d56e6
parse bigdata/usecases/cup98LRN_z.csv
convert TARGET_B to enum
build glm by ignoring TARGET_D and using TARGET_B as response
{…
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All of you have done a really great work! I was trying to find out the average global explanation graph for k fold cross validation. Lets suppose, I have a feature x and I have done 3 fold cross valid…
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I experience speed issues when conducting cross-validation with sparseLTS() - about five minutes for a grid of ten values of lambda - on a relatively good laptop. I could guess that the problem is the…
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Hi,
This package is awesome, any plans to implement k-fold or blocked time series for cross validation?
Thank You
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TestNG testcase : glm_neg_testcase_137
Test results page :
http://172.16.2.161:8080/view/testNG/job/h2o_master_DEV_testng_GLM_testcase/15/testngreports/h2o.testng/TestNG/glm_neg_testcase_137/
…
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# Unsupervised learning for choosing data parameters
* **Method:** K-means clustering
* **Score:** model's inertia (Sum of squared distances of samples to their closest cluster center)
* **Paramet…
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{code}
parseFiles
paths: ["/users/arno/./trainCSV.csv"]
destination_frame: "trainCSV.hex"
parse_type: "CSV"
separator: 44
number_columns: 22
single_quotes: false
column_names: ["…