import h2o
from h2o.h2o import _locate # private function. used to find files within h2o git project directory.
h2o.init()
weather_hex = h2o.import_file(path = _locate("smalldata/junit/weather.csv"))
# To see a brief summary of the data, run the following command.
weather_hex.describe()
import h2o
from h2o import H2OAssembly
from h2o.transforms.preprocessing import *
from h2o import H2OFrame
from h2o.h2o import _locate # private function. used to find files within h2o git project directory.
h2o.init()
fr = h2o.import_file(_locate("smalldata/iris/iris_wheader.csv")) # import data
assembly = H2OAssembly(steps=[
("col_select", H2OColSelect(["sepal_len", "petal_len",
"class"])), # col selection
("cos_sep_len", H2OColOp(fun=H2OFrame.cos, col="sepal_len",
inplace=True)), # math operation
("str_cnt_species",
H2OColOp(fun=H2OFrame.countmatches,
col="class",
inplace=False,
pattern="s"))
]) # string operation
result = assembly.fit(fr) # fit the assembly
result.show() # show the result of the fit
# print assembly.to_pojo(pojo_name="GeneratedH2OMungingPojo_001") # export to pojo
#
#
# java api usage:
#
# String rawRow = framework.nextTuple();
# H2OMungingPOJO munger = new GeneratedH2OMungingPojo_001();
import h2o
from h2o.h2o import _locate # private function. used to find files within h2o git project directory.
h2o.init()
weather_hex = h2o.import_file(path=_locate("smalldata/junit/weather.csv"))
# To see a brief summary of the data, run the following command.
weather_hex.describe()
import h2o
from h2o import H2OAssembly
from h2o.transforms.preprocessing import *
from h2o import H2OFrame
from h2o.h2o import _locate # private function. used to find files within h2o git project directory.
h2o.init()
fr = h2o.import_file(_locate("smalldata/iris/iris_wheader.csv")) # import data
assembly = H2OAssembly(steps=[("col_select", H2OColSelect(["sepal_len", "petal_len", "class"])), # col selection
("cos_sep_len", H2OColOp(fun=H2OFrame.cos, col="sepal_len", inplace=True)), # math operation
("str_cnt_species", H2OColOp(fun=H2OFrame.countmatches, col="class", inplace=False, pattern="s"))]) # string operation
result = assembly.fit(fr) # fit the assembly
result.show() # show the result of the fit
# print assembly.to_pojo(pojo_name="GeneratedH2OMungingPojo_001") # export to pojo
#
#
# java api usage:
#
# String rawRow = framework.nextTuple();
# H2OMungingPOJO munger = new GeneratedH2OMungingPojo_001();
# EasyPredictModelWrapper model = new EasyPredictModelWrapper(new GeneratedH2OGbmPojo_001());
#
# RowData row = new RowData();
# row.fill(rawRow);
# row = munger.transform(row);
# BinomialModelPrediction pred = model.predictBinomial(row);
