def ConfigTstQuizLog(ss, dt):
dt.SetMetaData("name", "TstQuizLog")
dt.SetMetaData("desc", "Summary stats for testing trials")
dt.SetMetaData("read-only", "true")
dt.SetMetaData("precision", str(LogPrec))
sch = etable.Schema(
[etable.Column("Run", etensor.INT64, go.nil, go.nil),
etable.Column("Epoch", etensor.INT64, go.nil, go.nil),
etable.Column("QNo", etensor.INT64, go.nil, go.nil),
etable.Column("Resp", etensor.STRING, go.nil, go.nil),
etable.Column("Err", etensor.FLOAT64, go.nil, go.nil),
etable.Column("Correls", etensor.FLOAT64, go.Slice_int([3]), go.nil)]
)
dt.SetFromSchema(sch, 0)
def ConfigPrjnTable(ss, dt):
dt.SetMetaData("name", "PrjnTable")
dt.SetMetaData("desc", "projection of data onto dimension")
dt.SetMetaData("read-only", "true")
dt.SetMetaData("precision", str(LogPrec))
nt = ss.TestEnv.Table.Len() # number in view
sch = etable.Schema(
[etable.Column("Trial", etensor.INT64, go.nil, go.nil),
etable.Column("TrialName", etensor.STRING, go.nil, go.nil),
etable.Column("GendPrjn", etensor.FLOAT64, go.nil, go.nil),
etable.Column("EmotePrjn", etensor.FLOAT64, go.nil, go.nil),
etable.Column("RndPrjn0", etensor.FLOAT64, go.nil, go.nil),
etable.Column("RndPrjn1", etensor.FLOAT64, go.nil, go.nil)]
)
dt.SetFromSchema(sch, nt)
def ConfigTstEpcLog(ss, dt):
dt.SetMetaData("name", "TstEpcLog")
dt.SetMetaData("desc", "Summary stats for testing trials")
dt.SetMetaData("read-only", "true")
dt.SetMetaData("precision", str(LogPrec))
sch = etable.Schema([
etable.Column("Run", etensor.INT64, go.nil, go.nil),
etable.Column("Epoch", etensor.INT64, go.nil, go.nil),
etable.Column("SSE", etensor.FLOAT64, go.nil, go.nil),
etable.Column("AvgSSE", etensor.FLOAT64, go.nil, go.nil),
etable.Column("PctErr", etensor.FLOAT64, go.nil, go.nil),
etable.Column("PctCor", etensor.FLOAT64, go.nil, go.nil),
etable.Column("CosDiff", etensor.FLOAT64, go.nil, go.nil)
])
dt.SetFromSchema(sch, 0)
def ConfigTstTrlLog(ss, dt):
dt.SetMetaData("name", "TstTrlLog")
dt.SetMetaData("desc", "Record of testing per input pattern")
dt.SetMetaData("read-only", "true")
dt.SetMetaData("precision", str(LogPrec))
sch = etable.Schema(
[etable.Column("Run", etensor.INT64, go.nil, go.nil),
etable.Column("Epoch", etensor.INT64, go.nil, go.nil),
etable.Column("Trial", etensor.INT64, go.nil, go.nil),
etable.Column("TrialName", etensor.STRING, go.nil, go.nil)]
)
for lnm in ss.LayStatNms :
ly = leabra.Layer(ss.Net.LayerByName(lnm))
sch.append( etable.Column(lnm, etensor.FLOAT64, ly.Shp.Shp, go.nil))
dt.SetFromSchema(sch, 0)
def ConfigRunLog(ss, dt):
dt.SetMetaData("name", "RunLog")
dt.SetMetaData("desc", "Record of performance at end of training")
dt.SetMetaData("read-only", "true")
dt.SetMetaData("precision", str(LogPrec))
sch = etable.Schema([
etable.Column("Run", etensor.INT64, go.nil, go.nil),
etable.Column("Params", etensor.STRING, go.nil, go.nil),
etable.Column("FirstZero", etensor.FLOAT64, go.nil, go.nil),
etable.Column("SSE", etensor.FLOAT64, go.nil, go.nil),
etable.Column("AvgSSE", etensor.FLOAT64, go.nil, go.nil),
etable.Column("PctErr", etensor.FLOAT64, go.nil, go.nil),
etable.Column("PctCor", etensor.FLOAT64, go.nil, go.nil),
etable.Column("CosDiff", etensor.FLOAT64, go.nil, go.nil)
])
dt.SetFromSchema(sch, 0)
def ConfigTstCycLog(ss, dt):
dt.SetMetaData("name", "TstCycLog")
dt.SetMetaData("desc", "Record of testing per cycle")
dt.SetMetaData("read-only", "true")
dt.SetMetaData("precision", str(LogPrec))
nt = 100
sch = etable.Schema(
[etable.Column("Cycle", etensor.INT64, go.nil, go.nil),
etable.Column("TrialName", etensor.STRING, go.nil, go.nil),
etable.Column("Harmony", etensor.FLOAT64, go.nil, go.nil)]
)
for lnm in ss.TstRecLays:
ly = leabra.Layer(ss.Net.LayerByName(lnm))
sch.append(etable.Column(lnm, etensor.FLOAT64, ly.Shp.Shp, go.nil))
dt.SetFromSchema(sch, nt)
def ConfigTstTrlLog(ss, dt):
dt.SetMetaData("name", "TstTrlLog")
dt.SetMetaData("desc", "Record of testing per input pattern")
dt.SetMetaData("read-only", "true")
dt.SetMetaData("precision", str(LogPrec))
nt = ss.TestEnv.Table.Len() # number in view
sch = etable.Schema([
etable.Column("Run", etensor.INT64, go.nil, go.nil),
etable.Column("Epoch", etensor.INT64, go.nil, go.nil),
etable.Column("Trial", etensor.INT64, go.nil, go.nil),
etable.Column("TrialName", etensor.STRING, go.nil, go.nil)
])
for lnm in ss.LayStatNms:
sch.append(
etable.Column(lnm + " ActM.Avg", etensor.FLOAT64, go.nil,
go.nil))
dt.SetFromSchema(sch, nt)
def ConfigTrnEpcLog(ss, dt):
dt.SetMetaData("name", "TrnEpcLog")
dt.SetMetaData("desc", "Record of performance over epochs of training")
dt.SetMetaData("read-only", "true")
dt.SetMetaData("precision", str(LogPrec))
sch = etable.Schema([
etable.Column("Run", etensor.INT64, go.nil, go.nil),
etable.Column("Epoch", etensor.INT64, go.nil, go.nil)
])
for lnm in ss.LayStatNms:
sch.append(
etable.Column(lnm + " ActAvg", etensor.FLOAT64, go.nil,
go.nil))
dt.SetFromSchema(sch, 0)
ss.ConfigWts(ss.V1onWts)
ss.ConfigWts(ss.V1offWts)
ss.ConfigWts(ss.V1Wts)
def ConfigTstTrlLog(ss, dt):
inp = leabra.Layer(ss.Net.LayerByName("Input"))
recv = leabra.Layer(ss.Net.LayerByName("RecvNeuron"))
dt.SetMetaData("name", "TstTrlLog")
dt.SetMetaData("desc", "Record of testing per input pattern")
dt.SetMetaData("read-only", "true")
dt.SetMetaData("precision", str(LogPrec))
nt = ss.TestEnv.Table.Len()
sch = etable.Schema(
[etable.Column("Trial", etensor.INT64, go.nil, go.nil),
etable.Column("TrialName", etensor.STRING, go.nil, go.nil),
etable.Column("Input", etensor.FLOAT64, inp.Shp.Shp, go.nil),
etable.Column("Ge", etensor.FLOAT64, recv.Shp.Shp, go.nil),
etable.Column("Act", etensor.FLOAT64, recv.Shp.Shp, go.nil)]
)
dt.SetFromSchema(sch, nt)
def ConfigTrnTrlLog(ss, dt):
dt.SetMetaData("name", "TrnTrlLog")
dt.SetMetaData("desc", "Record of training per input event (time step)")
dt.SetMetaData("read-only", "true")
dt.SetMetaData("precision", str(LogPrec))
nt = 0
sch = etable.Schema(
[etable.Column("Run", etensor.INT64, go.nil, go.nil),
etable.Column("Epoch", etensor.INT64, go.nil, go.nil),
etable.Column("Trial", etensor.INT64, go.nil, go.nil),
etable.Column("Event", etensor.INT64, go.nil, go.nil),
etable.Column("TD", etensor.FLOAT64, go.nil, go.nil),
etable.Column("RewPred", etensor.FLOAT64, go.nil, go.nil)]
)
for lnm in ss.TstRecLays:
ly = leabra.Layer(ss.Net.LayerByName(lnm))
sch.append( etable.Column(lnm, etensor.FLOAT64, ly.Shp.Shp, go.nil))
dt.SetFromSchema(sch, nt)
def ConfigTstCycLog(ss, dt):
dt.SetMetaData("name", "TstCycLog")
dt.SetMetaData("desc", "Record of testing per cycle")
dt.SetMetaData("read-only", "true")
dt.SetMetaData("precision", str(LogPrec))
nt = ss.NCycles # max cycles
sch = etable.Schema([
etable.Column("Cycle", etensor.INT64, go.nil, go.nil),
etable.Column("Ge", etensor.FLOAT64, go.nil, go.nil),
etable.Column("Inet", etensor.FLOAT64, go.nil, go.nil),
etable.Column("Vm", etensor.FLOAT64, go.nil, go.nil),
etable.Column("Act", etensor.FLOAT64, go.nil, go.nil),
etable.Column("Spike", etensor.FLOAT64, go.nil, go.nil),
etable.Column("Gk", etensor.FLOAT64, go.nil, go.nil),
etable.Column("ISI", etensor.FLOAT64, go.nil, go.nil),
etable.Column("AvgISI", etensor.FLOAT64, go.nil, go.nil)
])
dt.SetFromSchema(sch, nt)
