def LogRun(ss, dt):
"""
LogRun adds data from current run to the RunLog table.
"""
run = ss.TrainEnv.Run.Cur # this is NOT triggered by increment yet -- use Cur
row = dt.Rows
dt.SetNumRows(row + 1)
epclog = ss.TrnEpcLog
epcix = etable.NewIdxView(epclog)
# compute mean over last N epochs for run level
nlast = 1
if nlast > epcix.Len()-1:
nlast = epcix.Len() - 1
epcix.Idxs = epcix.Idxs[epcix.Len()-nlast-1:]
params = "Std"
if ss.AvgLGain != 2.5:
params += "_AvgLGain=%s" % (ss.AvgLGain)
if ss.InputNoise != 0:
params += "_InVar=%s" % (ss.InputNoise)
dt.SetCellFloat("Run", row, float(run))
dt.SetCellString("Params", row, params)
dt.SetCellFloat("UniqPats", row, agg.Mean(epcix, "UniqPats")[0])
runix = etable.NewIdxView(dt)
spl = split.GroupBy(runix, go.Slice_string(["Params"]))
split.Desc(spl, "UniqPats")
ss.RunStats = spl.AggsToTable(etable.AddAggName)
# note: essential to use Go version of update when called from another goroutine
ss.RunPlot.GoUpdate()
def LogRun(ss, dt):
"""
LogRun adds data from current run to the RunLog table.
"""
run = ss.TrainEnv.Run.Cur # this is NOT triggered by increment yet -- use Cur
row = dt.Rows
dt.SetNumRows(row + 1)
epclog = ss.TstEpcLog
epcix = etable.NewIdxView(epclog)
# compute mean over last N epochs for run level
nlast = 5
if nlast > epcix.Len()-1:
nlast = epcix.Len() - 1
epcix.Idxs = go.Slice_int(epcix.Idxs[epcix.Len()-nlast:])
params = ss.Learn.name + "_" + ss.Pats.name
dt.SetCellFloat("Run", row, float(run))
dt.SetCellString("Params", row, params)
dt.SetCellFloat("FirstZero", row, float(ss.FirstZero))
dt.SetCellFloat("SSE", row, agg.Mean(epcix, "SSE")[0])
dt.SetCellFloat("AvgSSE", row, agg.Mean(epcix, "AvgSSE")[0])
dt.SetCellFloat("PctErr", row, agg.Mean(epcix, "PctErr")[0])
dt.SetCellFloat("PctCor", row, agg.Mean(epcix, "PctCor")[0])
dt.SetCellFloat("CosDiff", row, agg.Mean(epcix, "CosDiff")[0])
runix = etable.NewIdxView(dt)
spl = split.GroupBy(runix, go.Slice_string(["Params"]))
split.Desc(spl, "FirstZero")
split.Desc(spl, "PctCor")
split.Desc(spl, "SSE")
ss.RunStats = spl.AggsToTable(etable.AddAggName)
# note: essential to use Go version of update when called from another goroutine
if ss.RunPlot != 0:
ss.RunPlot.GoUpdate()
if ss.RunFile != 0:
if row == 0:
dt.WriteCSVHeaders(ss.RunFile, etable.Tab)
dt.WriteCSVRow(ss.RunFile, row, etable.Tab)
def LogTstEpc(ss, dt):
row = dt.Rows
dt.SetNumRows(row + 1)
trl = ss.TstTrlLog
tix = etable.NewIdxView(trl)
epc = ss.TrainEnv.Epoch.Prv # ?
# note: this shows how to use agg methods to compute summary data from another
# data table, instead of incrementing on the Sim
dt.SetCellFloat("Run", row, float(ss.TrainEnv.Run.Cur))
dt.SetCellFloat("Epoch", row, float(epc))
dt.SetCellFloat("SSE", row, agg.Sum(tix, "SSE")[0])
dt.SetCellFloat("AvgSSE", row, agg.Mean(tix, "AvgSSE")[0])
dt.SetCellFloat("PctErr", row, agg.Mean(tix, "Err")[0])
dt.SetCellFloat("PctCor", row, 1 - agg.Mean(tix, "Err")[0])
dt.SetCellFloat("CosDiff", row, agg.Mean(tix, "CosDiff")[0])
# note: essential to use Go version of update when called from another goroutine
if ss.TstEpcPlot != 0:
ss.TstEpcPlot.GoUpdate()
