SYMBOL INDEX (40 symbols across 16 files)

FILE: micromlgen/decisiontreeclassifier.py
  function is_decisiontree (line 4) | def is_decisiontree(clf):
  function port_decisiontree (line 9) | def port_decisiontree(clf, **kwargs):

FILE: micromlgen/decisiontreeregressor.py
  function is_decisiontree_regressor (line 4) | def is_decisiontree_regressor(clf):
  function port_decisiontree_regressor (line 13) | def port_decisiontree_regressor(clf, **kwargs):

FILE: micromlgen/gaussiannb.py
  function is_gaussiannb (line 4) | def is_gaussiannb(clf):
  function port_gaussiannb (line 9) | def port_gaussiannb(clf, **kwargs):

FILE: micromlgen/linear_regression.py
  function is_linear_regression (line 4) | def is_linear_regression(clf):
  function port_linear_regression (line 9) | def port_linear_regression(clf, classname=None, **kwargs):

FILE: micromlgen/logisticregression.py
  function is_logisticregression (line 4) | def is_logisticregression(clf):
  function port_logisticregression (line 9) | def port_logisticregression(clf, **kwargs):

FILE: micromlgen/micromlgen.py
  function port (line 17) | def port(

FILE: micromlgen/pca.py
  function is_pca (line 4) | def is_pca(clf):
  function port_pca (line 9) | def port_pca(clf, **kwargs):

FILE: micromlgen/principalfft.py
  function is_principalfft (line 5) | def is_principalfft(clf):
  function port_principalfft (line 10) | def port_principalfft(clf, optimize_sin=False, lookup_cos=None, lookup_s...

FILE: micromlgen/randomforestclassifier.py
  function is_randomforest (line 4) | def is_randomforest(clf):
  function port_randomforest (line 9) | def port_randomforest(clf, **kwargs):

FILE: micromlgen/randomforestregressor.py
  function is_randomforest_regressor (line 4) | def is_randomforest_regressor(clf):
  function port_randomforest_regressor (line 11) | def port_randomforest_regressor(clf, **kwargs):

FILE: micromlgen/rvm.py
  function is_rvm (line 4) | def is_rvm(clf):
  function port_rvm (line 9) | def port_rvm(clf, **kwargs):

FILE: micromlgen/sefr.py
  function is_sefr (line 4) | def is_sefr(clf):
  function port_sefr (line 9) | def port_sefr(clf, classname=None, **kwargs):

FILE: micromlgen/svm.py
  function is_svm (line 4) | def is_svm(clf):
  function port_svm (line 9) | def port_svm(clf, **kwargs):

FILE: micromlgen/utils.py
  function check_type (line 9) | def check_type(instance, *classes):
  function prettify (line 20) | def prettify(code):
  function jinja (line 49) | def jinja(template_file, data, defaults=None, **kwargs):
  function port_trainset (line 84) | def port_trainset(X, y, classname='TrainSet'):
  function port_testset (line 88) | def port_testset(X, y, classname='TestSet'):
  function port_array (line 92) | def port_array(arr, precision=9):

FILE: micromlgen/wifiindoorpositioning.py
  function parse_samples (line 6) | def parse_samples(samples, parser):
  function get_classmap (line 15) | def get_classmap(samples):
  function get_networkmap (line 25) | def get_networkmap(samples):
  function get_x (line 36) | def get_x(samples, networkmap):
  function get_y (line 48) | def get_y(samples, classmap):
  function port_wifi_indoor_positioning (line 59) | def port_wifi_indoor_positioning(samples):

FILE: micromlgen/xgboost.py
  function format_tree (line 6) | def format_tree(tree):
  function is_xgboost (line 24) | def is_xgboost(clf):
  function port_xgboost (line 31) | def port_xgboost(clf, tmp_file=None, **kwargs):