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{code:java} 04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: java.lang.AssertionError: 1005.1403389830544 0.0 0.0 4794.803464357094 04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at hex.AUC2$ThresholdCriterion$8.exec(AUC2.java:68) 04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at hex.AUC2$ThresholdCriterion.exec(AUC2.java:98) 04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at water.api.schemas3.ModelMetricsBinomialV3.fillFromImpl(ModelMetricsBinomialV3.java:94) 04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at water.api.schemas3.ModelMetricsBinomialV3.fillFromImpl(ModelMetricsBinomialV3.java:10) 04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at hex.schemas.GridSchemaV99.fillFromImpl(GridSchemaV99.java:135) 04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at water.api.GridsHandler.fetch(GridsHandler.java:41) 04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method) 04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) 04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) 04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at java.base/java.lang.reflect.Method.invoke(Method.java:567) 04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at water.api.Handler.handle(Handler.java:60) 04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at water.api.RequestServer.serve(RequestServer.java:470) 04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at water.api.RequestServer.doGeneric(RequestServer.java:301) 04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at water.api.RequestServer.doGet(RequestServer.java:225) 04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at javax.servlet.http.HttpServlet.service(HttpServlet.java:735) 04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at javax.servlet.http.HttpServlet.service(HttpServlet.java:848) 04-01 1 {code}
{code:java} train_df=h2o.import_file(path=".../train_df.csv")
train_df["target"]=train_df["target"].asfactor() x=train_df.names
x.remove("target") x.remove("target_bin")
from h2o.grid.grid_search import H2OGridSearch from h2o.estimators import H2OGradientBoostingEstimator
grid_space = dict( ntrees=[10, 30, 50, 70], max_depth=[2, 4, 6, 8], stopping_tolerance=[0.99, 0.1, 0.01, 0.001], min_rows=[15, 30, 50, 100], learn_rate=[0.01, 0.03, 0.1, 0.3, 1] ) grid_criteria = dict( strategy="RandomDiscrete", max_models=30, max_runtime_secs=120, seed=1 )
grid_search = H2OGridSearch(H2OGradientBoostingEstimator, grid_space, 'grid_search', grid_criteria) grid_search.train(training_frame=train_df, x=x, y="target", seed=1, weights_column = "Weight",sample_rate=1,check_constant_response=False)
{code}
data to repro in - https://support.h2o.ai/a/tickets/96788
The text was updated successfully, but these errors were encountered:
JIRA Issue Migration Info
Jira Issue: PUBDEV-7426 Assignee: Veronika Maurerová Reporter: Nidhi Mehta State: Resolved Fix Version: 3.30.0.2 Attachments: N/A Development PRs: Available
Linked PRs from JIRA
#4537
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{code:java}
04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: java.lang.AssertionError: 1005.1403389830544 0.0 0.0 4794.803464357094
04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at hex.AUC2$ThresholdCriterion$8.exec(AUC2.java:68)
04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at hex.AUC2$ThresholdCriterion.exec(AUC2.java:98)
04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at water.api.schemas3.ModelMetricsBinomialV3.fillFromImpl(ModelMetricsBinomialV3.java:94)
04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at water.api.schemas3.ModelMetricsBinomialV3.fillFromImpl(ModelMetricsBinomialV3.java:10)
04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at hex.schemas.GridSchemaV99.fillFromImpl(GridSchemaV99.java:135)
04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at water.api.GridsHandler.fetch(GridsHandler.java:41)
04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at java.base/java.lang.reflect.Method.invoke(Method.java:567)
04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at water.api.Handler.handle(Handler.java:60)
04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at water.api.RequestServer.serve(RequestServer.java:470)
04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at water.api.RequestServer.doGeneric(RequestServer.java:301)
04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at water.api.RequestServer.doGet(RequestServer.java:225)
04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at javax.servlet.http.HttpServlet.service(HttpServlet.java:735)
04-01 16:26:35.657 127.0.0.1:54321 20185 #8164-18 ERRR: at javax.servlet.http.HttpServlet.service(HttpServlet.java:848)
04-01 1
{code}
{code:java}
train_df=h2o.import_file(path=".../train_df.csv")
train_df["target"]=train_df["target"].asfactor()
x=train_df.names
x.remove("target")
x.remove("target_bin")
from h2o.grid.grid_search import H2OGridSearch
from h2o.estimators import H2OGradientBoostingEstimator
grid_space = dict(
ntrees=[10, 30, 50, 70],
max_depth=[2, 4, 6, 8],
stopping_tolerance=[0.99, 0.1, 0.01, 0.001],
min_rows=[15, 30, 50, 100],
learn_rate=[0.01, 0.03, 0.1, 0.3, 1]
)
grid_criteria = dict(
strategy="RandomDiscrete",
max_models=30,
max_runtime_secs=120,
seed=1
)
grid_search = H2OGridSearch(H2OGradientBoostingEstimator, grid_space, 'grid_search', grid_criteria)
grid_search.train(training_frame=train_df, x=x, y="target", seed=1, weights_column = "Weight",sample_rate=1,check_constant_response=False)
{code}
data to repro in - https://support.h2o.ai/a/tickets/96788
The text was updated successfully, but these errors were encountered: