def getBlockOfCols(nT,*args):
mnT = MergedNumericTable()
for idx in range(args[0],args[1]):
doubleBlock = BlockDescriptor_Float64()
nT.getBlockOfColumnValues(idx, 0, nT.getNumberOfRows(), readOnly, doubleBlock)
mnT.releaseBlockOfColumnValues(doubleBlock)
return mnT
def getArrayFromNT(table, nrows=0):
bd = BlockDescriptor_Float64()
if nrows == 0:
nrows = table.getNumberOfRows()
table.getBlockOfRows(0, nrows, readOnly, bd)
npa = bd.getArray()
table.releaseBlockOfRows(bd)
return npa
def getArrayFromNT(self, nT):
doubleBlock = BlockDescriptor_Float64()
firstRow = 0
lastRow = nT.getNumberOfRows()
firstCol = 0
lastCol = nT.getNumberOfColumns()
nT.getBlockOfRows(firstRow, lastRow, readOnly, doubleBlock)
getArray = doubleBlock.getArray()
return getArray
def _computeMulticlassQualityMetrics(self, nclasses):
# Alg object for quality metrics computation
quality_alg = multiclass_quality.Batch(nclasses)
# Get access to the input parameter
input = quality_alg.getInputDataCollection().getInput(
multiclass_quality.confusionMatrix)
# Pass ground truth and predictions as input
input.set(multiclass_confusion_matrix.groundTruthLabels, self._truth)
input.set(multiclass_confusion_matrix.predictedLabels, self._predictions)
# Compute confusion matrix
confusion = quality_alg.compute().getResult(multiclass_quality.confusionMatrix)
# Retrieve quality metrics from the confusion matrix
metrics = confusion.get(multiclass_confusion_matrix.multiClassMetrics)
# Convert the metrics into a Python namedtuple and return it
block = BlockDescriptor_Float64()
metrics.getBlockOfRows(0, 1, readOnly, block)
x = block.getArray().flatten()
self._metrics = MultiClassMetrics(*x)
metrics.releaseBlockOfRows(block)
def getArrayFromNT(nT, *args):
doubleBlock = BlockDescriptor_Float64()
if not args:
firstRow = 0
lastRow = nT.getNumberOfRows()
firstCol = 0
lastCol = nT.getNumberOfColumns()
else:
if args[0] == "head":
firstRow = 0
lastRow = 5
firstCol = 0
lastCol = 5
if args[0] == "tail":
firstRow = nT.getNumberOfRows() - 5
lastRow = nT.getNumberOfRows()
firstCol = 0
lastCol = 5
nT.getBlockOfRows(firstRow, lastRow, readOnly, doubleBlock)
getArray = doubleBlock.getArray()
return getArray