def mmGetPlotUnionSDRDutyCycle(self, title="Union SDR Duty Cycle"):
"""
@return (Plot) Plot of union SDR duty cycle.
"""
plot = Plot(self, title)
unionSDRDutyCycle = self.mmGetDataUnionSDRDutyCycle()
plot.addGraph(sorted(unionSDRDutyCycle, reverse=True),
position=211,
xlabel="Union SDR Bit", ylabel="Duty Cycle")
plot.addHistogram(unionSDRDutyCycle,
position=212,
bins=len(unionSDRDutyCycle) / 10,
xlabel="Duty Cycle", ylabel="# Union SDR Bits")
return plot
def mmGetPlotConnectionsPerColumn(self, title=None):
"""
Returns plot of # connections per column.
@return (Plot) plot
"""
plot = Plot(self, title)
plot.addGraph(sorted(self._connectedCounts.tolist(), reverse=True),
position=211,
xlabel="column", ylabel="# connections")
plot.addHistogram(self._connectedCounts.tolist(),
position=212,
bins=len(self._connectedCounts) / 10,
xlabel="# connections", ylabel="# columns")
return plot
def mmGetPlotConnectionsPerColumn(self, title=None):
"""
Returns plot of # connections per column.
@return (Plot) plot
"""
plot = Plot(self, title)
plot.addGraph(sorted(self._connectedCounts.tolist(), reverse=True),
position=211,
xlabel="column", ylabel="# connections")
plot.addHistogram(self._connectedCounts.tolist(),
position=212,
bins=len(self._connectedCounts) / 10,
xlabel="# connections", ylabel="# columns")
return plot
def mmGetPlotBitlife(self, title="Bitlife Statistics"):
"""
@return (Plot) Plot of bitlife statistics.
"""
plot = Plot(self, title)
bitlife = self.mmGetDataBitlife()
print bitlife
plot.addGraph(sorted(bitlife, reverse=True),
position=211,
xlabel="Union SDR Bit", ylabel="Bitlife")
plot.addHistogram(bitlife,
position=212,
bins=max(len(bitlife) / 10, 3),
xlabel="Bitlife", ylabel="# Union SDR Bits")
return plot
def mmGetPlotDistinctness(self, title="Distinctiness", showReset=False,
resetShading=0.25):
"""
Returns plot of the overlap metric between union SDRs between sequences.
@param title an optional title for the figure
@return (Plot) plot
"""
plot = Plot(self, title)
self._mmComputeSequenceRepresentationData()
data = self._mmData["distinctnessConfusion"]
plot.addGraph(sorted(data, reverse=True),
position=211,
xlabel="Time steps", ylabel="Overlap")
plot.addHistogram(data,
position=212,
bins=100,
xlabel="Overlap", ylabel="# time steps")
return plot
def mmGetPlotConnectionsPerColumn(self, title="Connections per Columns"):
"""
Returns plot of # connections per column.
@return (Plot) plot
"""
plot = Plot(self, title)
connectedCounts = numpy.ndarray(self.getNumColumns(), dtype=uintType)
self.getConnectedCounts(connectedCounts)
plot.addGraph(sorted(connectedCounts.tolist(), reverse=True),
position=211,
xlabel="column", ylabel="# connections")
plot.addHistogram(connectedCounts.tolist(),
position=212,
bins=len(connectedCounts) / 10,
xlabel="# connections", ylabel="# columns")
return plot
