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);