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[SW-2646] Calculate Metrics on Arbitrary Dataset #2745

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[SW-2646] Calculate Metrics on Arbitrary Dataset #2745

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753562d
[SW-2646] Calculate Metrics on Arbitrary Dataset
mn-mikke Nov 15, 2021
d8af501
Update api
mn-mikke Mar 18, 2022
5ed9b34
Remove unrelated tests
mn-mikke Mar 21, 2022
c50fffe
Remove unrelated logic
mn-mikke Mar 21, 2022
aeb48eb
Remove unrelated logic
mn-mikke Mar 21, 2022
e25801a
Remove extra dependency
mn-mikke Mar 21, 2022
32db73d
Remove extra dependency and return test back
mn-mikke Mar 21, 2022
a777a7d
Remove extra tests
mn-mikke Mar 21, 2022
66f0451
Update tests
mn-mikke Mar 21, 2022
38e5ab4
Fix tests
mn-mikke Mar 22, 2022
d118f74
Fix tests
mn-mikke Mar 25, 2022
3f4cf56
Python wrappers
mn-mikke Mar 28, 2022
3f2dabd
Fix multinomial tests
mn-mikke Mar 29, 2022
ef0670c
Remove prior distribution
mn-mikke Mar 29, 2022
6a4a15c
remove distribution option
mn-mikke Mar 29, 2022
624a627
spotless Apply
mn-mikke Mar 29, 2022
cefff34
dataType checks
mn-mikke Mar 29, 2022
75d1274
revert test changes in python
mn-mikke Mar 30, 2022
e6887bc
revert change in R
mn-mikke Mar 30, 2022
1708d9b
Add R classes
mn-mikke Mar 30, 2022
5240eba
Remove offset column from multinomial metrics
mn-mikke Mar 30, 2022
0dfc38e
Fix metric factory generatino
mn-mikke Mar 30, 2022
afd7676
Use original builders instead
mn-mikke Apr 4, 2022
756e169
Add python smoke tests
mn-mikke Apr 4, 2022
d1de562
Use master version
mn-mikke Apr 5, 2022
df87eb3
Update python API
mn-mikke Apr 5, 2022
87d434c
fix formatting
mn-mikke Apr 7, 2022
3002e21
fix python test
mn-mikke Apr 7, 2022
93fd203
Add R tests
mn-mikke Apr 8, 2022
c939266
add more conditions to python tests
mn-mikke Apr 8, 2022
da2c335
spotless apply
mn-mikke Apr 8, 2022
da8417c
Update metric calculation to work with just probabilities
mn-mikke Apr 12, 2022
45bc54e
Fix Python test
mn-mikke Apr 12, 2022
1965292
Fix R test
mn-mikke Apr 13, 2022
7e8f954
Address review comments from Bartosz
mn-mikke Apr 14, 2022
2be8b85
spotless apply
mn-mikke Apr 19, 2022
ea696fe
dataframe.isEmpty is not present in spark 2.2
mn-mikke Apr 20, 2022
e5457e8
Merge remote-tracking branch 'origin/master' into mn/SW-2646b
krasinski Jun 2, 2023
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Merge remote-tracking branch 'origin/master' into mn/SW-2646b
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@krasinski
krasinski committed Jun 2, 2023
commit e5457e8155db6aa6de911652d8ba77e708086235
2 changes: 1 addition & 1 deletion py-scoring/src/ai/h2o/sparkling/ml/__init__.py
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from ai.h2o.sparkling.ml.models import H2OKMeansMOJOModel, H2OGLMMOJOModel, H2OGAMMOJOModel, H2OGBMMOJOModel, H2OXGBoostMOJOModel
from ai.h2o.sparkling.ml.models import H2ODeepLearningMOJOModel, H2ODRFMOJOModel, H2OIsolationForestMOJOModel, H2OPCAMOJOModel, H2OGLRMMOJOModel
from ai.h2o.sparkling.ml.models import H2OMOJOModel, H2OAlgorithmMOJOModel, H2OFeatureMOJOModel, H2OMOJOPipelineModel, H2OMOJOSettings
from ai.h2o.sparkling.ml.models import H2OCoxPHMOJOModel, H2ORuleFitMOJOModel, H2OWord2VecMOJOModel
from ai.h2o.sparkling.ml.models import H2OCoxPHMOJOModel, H2ORuleFitMOJOModel, H2OWord2VecMOJOModel, H2OExtendedIsolationForestMOJOModel
from ai.h2o.sparkling.ml.metrics import H2ORegressionMetrics, H2OBinomialMetrics, H2OMultinomialMetrics
3 changes: 2 additions & 1 deletion py-scoring/src/pysparkling/ml/__init__.py
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"H2OKMeansMOJOModel", "H2OGLMMOJOModel", "H2OGAMMOJOModel", "H2OGBMMOJOModel", "H2OXGBoostMOJOModel",
"H2ODeepLearningMOJOModel", "H2ODRFMOJOModel", "H2OIsolationForestMOJOModel", "H2OPCAMOJOModel",
"H2OGLRMMOJOModel", "H2OCoxPHMOJOModel", "H2ORuleFitMOJOModel", "H2OWord2VecMOJOModel",
"H2ORegressionMetrics", "H2OMultinomialMetrics", "H2OBinomialMetrics"]
"H2OExtendedIsolationorestMOJOModel", "H2ORegressionMetrics", "H2OMultinomialMetrics",
"H2OBinomialMetrics"]

from pysparkling.initializer import Initializer

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3 changes: 2 additions & 1 deletion py/src/pysparkling/ml/__init__.py
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"H2ODRFMOJOModel", "H2OIsolationForestMOJOModel", "H2OWord2Vec", "H2OWord2VecMOJOModel", "H2OAutoEncoder",
"H2OAutoEncoderMOJOModel", "H2OPCA", "H2OPCAMOJOModel", "H2OGLRM", "H2OGLRMMOJOModel", "H2ORuleFit",
"H2ORuleFitClassifier", "H2ORuleFitRegressor", "H2ORuleFitMOJOModel", "H2OStackedEnsemble",
"H2OStackedEnsembleMOJOModel", "H2ORegressionMetrics", "H2OBinomialMetrics", "H2OMultinomialMetrics"]
"H2OStackedEnsembleMOJOModel", "H2ORegressionMetrics", "H2OBinomialMetrics", "H2OMultinomialMetrics",
"H2OExtendedIsolationForest"]

from pysparkling.initializer import Initializer

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