def pack_model_editor(editor):
return PreprocessAction(
name=editor.name,
qualname=
f"orangecontrib.spectroscopy.widgets.peak_editors.{editor.prefix_generic}",
category=editor.category,
description=Description(getattr(editor, 'description', editor.name),
icon_path(editor.icon)),
viewclass=editor,
)
class POSTaggingModule(SingleMethodModule):
Averaged, MaxEnt, Stanford = range(3)
Methods = {Averaged: AveragedPerceptronTagger, MaxEnt: MaxEntTagger}
DEFAULT_METHOD = Averaged
@staticmethod
def createinstance(params: Dict) -> POSTagger:
method = params.get("method", POSTaggingModule.DEFAULT_METHOD)
return POSTaggingModule.Methods[method]()
PREPROCESS_ACTIONS = [
PreprocessAction("Transformation", "preprocess.transform", "",
Description("变换", icon_path("Transform.svg")),
TransformationModule),
PreprocessAction("Tokenization", "preprocess.tokenize", "",
Description("分词", icon_path("Tokenize.svg")),
TokenizerModule),
PreprocessAction("Normalization", "preprocess.normalize", "",
Description("归一化", icon_path("Normalize.svg")),
NormalizationModule),
PreprocessAction("Filtering", "preprocess.filter", "",
Description("过滤", icon_path("Filter.svg")),
FilteringModule),
PreprocessAction("N-grams Range", "preprocess.ngrams", "",
Description("N-grams 范围", icon_path("NGrams.svg")),
NgramsModule),
PreprocessAction("POS Tagger", "tag.pos", "",
Description("POS 标记", icon_path("POSTag.svg")),
def parameters(self):
return {"n_genes": self._n_genes}
@staticmethod
def createinstance(params):
n_genes = params.get("n_genes", DropoutEditor.DEFAULT_N_GENES)
return DropoutGeneSelection(n_genes)
def __repr__(self):
return "Number of Genes: {}".format(self._n_genes)
PREPROCESS_ACTIONS = [
PreprocessAction(
"Logarithmic Scale", "preprocess.log_scale", "Value-Based",
Description("Logarithmic Scale", icon_path("LogarithmicScale.svg")),
LogarithmicScaleEditor),
PreprocessAction(
"Binarize Expression", "preprocess.binarize", "Value-Based",
Description("Binarize Expression", icon_path("Binarize.svg")),
BinarizeEditor),
PreprocessAction(
"Normalize Samples", "preprocess.normalize", "Row-Based",
Description("Normalize Samples", icon_path("Normalize.svg")),
NormalizeEditor),
PreprocessAction(
"Standardize Genes", "preprocess.standardize", "Column-Based",
Description("Standardize Genes", icon_path("Standardize.svg")),
StandardizeEditor),
PreprocessAction(
"Select Most Variable Genes", "preprocess.select_genes",
class IntegrateAtEditor(IntegrateSimpleEditor):
qualname = "orangecontrib.infrared.integrate.closest"
integrator = Integrate.PeakAt
def set_preview_data(self, data):
if not self.user_changed:
x = getx(data)
if len(x):
self.set_value("Closest to", min(x))
PREPROCESSORS = [
PreprocessAction(
"Integrate", c.qualname, "Integration",
Description(c.integrator.name, icon_path("Discretize.svg")), c)
for c in [
IntegrateSimpleEditor,
IntegrateBaselineEditor,
IntegratePeakMaxEditor,
IntegratePeakMaxBaselineEditor,
IntegrateAtEditor,
]
]
class OWIntegrate(orangecontrib.infrared.widgets.owpreproc.OWPreprocess):
name = "Integrate Spectra"
id = "orangecontrib.infrared.widgets.integrate"
description = "Integrate spectra in various ways."
def pack_editor(editor):
return PreprocessAction("", "", "", Description("Packed"), editor)
