[Biomod-commits] Error in ensemble by algorithm
Josep M Serra diaz
pep.bioalerts at gmail.com
Sun Mar 10 20:20:10 CET 2013
Dear BIOMODers,
I found an error while trying to perform modeling ensemble by algorithm in
order to produce an output for each statistical technique
Any clue of what does this mean???
The strane
########################
#ensemble through algorithm
myBiomodEM.algo <- BIOMOD_EnsembleModeling (
em.by="algo" ,
modeling.output = myBiomodModelOut,
chosen.models = 'all',
eval.metric = 'TSS',
eval.metric.quality.threshold =
c(0.6),
prob.mean=T,
prob.cv = T,
prob.ci = T,
prob.ci.alpha = 0.05,
prob.median = T,
committee.averaging = T,
prob.mean.weight = F,
prob.mean.weight.decay =
'proportional'
)
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
Build Ensemble Models
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
! all models available will be included in ensemble.modeling
> Evaluation & Weighting methods summary :
TSS over 0.6
> GLM_AllRun ensemble modeling
> TSS
! No models kept due to treshold filtering... Ensemble Modeling was skip!
> GBM_AllRun ensemble modeling
> TSS
! No models kept due to treshold filtering... Ensemble Modeling was skip!
> GAM_AllRun ensemble modeling
> TSS
! No models kept due to treshold filtering... Ensemble Modeling was skip!
> CTA_AllRun ensemble modeling
> TSS
! No models kept due to treshold filtering... Ensemble Modeling was skip!
> ANN_AllRun ensemble modeling
> TSS
! No models kept due to treshold filtering... Ensemble Modeling was skip!
> FDA_AllRun ensemble modeling
> TSS
! No models kept due to treshold filtering... Ensemble Modeling was skip!
> MARS_AllRun ensemble modeling
> TSS
! No models kept due to treshold filtering... Ensemble Modeling was skip!
> RF_AllRun ensemble modeling
> TSS
> models kept : Quercusilex_AllData_RUN2_RF
! Models projections for whole zonation required...
> Projecting Quercusilex_AllData_RUN2_RF ...
> Mean of probabilities...
> Coef of variation of probabilities...
> Median of ptobabilities...
> Confidence Interval...
> 2.5 %
> 97.5 %
> Comittee averaging...Warning in FUN(c("KAPPA", "TSS", "ROC", "FAR",
"SR", "ACCURACY", "BIAS", :
Observed or fited data contains a unique value.. Be carefull with this
models predictions
Warning in FUN(c("KAPPA", "TSS", "ROC", "FAR", "SR", "ACCURACY", "BIAS", :
Observed or fited data contains a unique value.. Be carefull with this
models predictions
Warning in FUN(c("KAPPA", "TSS", "ROC", "FAR", "SR", "ACCURACY", "BIAS", :
Observed or fited data contains a unique value.. Be carefull with this
models predictions
*Error in roc.default(Obs, Fit, percent = T) : No control observation.*
In addition: There were 50 or more warnings (use warnings() to see the
first 50)
> warnings()
Warning messages:
1: In (forecast_1 * observed_1) + (forecast_0 * observed_0) :
NAs produced by integer overflow
2: In (forecast_1 * observed_1) + (forecast_0 * observed_0) :
NAs produced by integer overflow
3: In (forecast_1 * observed_1) + (forecast_0 * observed_0) :
NAs produced by integer overflow
4: In (forecast_1 * observed_1) + (forecast_0 * observed_0) :
NAs produced by integer overflow
5: In forecast_0 * observed_0 : NAs produced by integer overflow
6: In forecast_0 * observed_0 : NAs produced by integer overflow
7: In forecast_0 * observed_0 : NAs produced by integer overflow
8: In forecast_0 * observed_0 : NAs produced by integer overflow
9: In forecast_0 * observed_0 : NAs produced by integer overflow
10: In forecast_0 * observed_0 : NAs produced by integer overflow
11: In forecast_0 * observed_0 : NAs produced by integer overflow
12: In forecast_0 * observed_0 : NAs produced by integer overflow
13: In forecast_0 * observed_0 : NAs produced by integer overflow
14: In forecast_0 * observed_0 : NAs produced by integer overflow
15: In forecast_0 * observed_0 : NAs produced by integer overflow
16: In forecast_0 * observed_0 : NAs produced by integer overflow
17: In forecast_0 * observed_0 : NAs produced by integer overflow
18: In forecast_0 * observed_0 : NAs produced by integer overflow
19: In forecast_0 * observed_0 : NAs produced by integer overflow
20: In forecast_0 * observed_0 : NAs produced by integer overflow
21: In forecast_0 * observed_0 : NAs produced by integer overflow
22: In forecast_0 * observed_0 : NAs produced by integer overflow
23: In forecast_0 * observed_0 : NAs produced by integer overflow
24: In forecast_0 * observed_0 : NAs produced by integer overflow
25: In forecast_0 * observed_0 : NAs produced by integer overflow
26: In forecast_0 * observed_0 : NAs produced by integer overflow
27: In forecast_0 * observed_0 : NAs produced by integer overflow
28: In forecast_0 * observed_0 : NAs produced by integer overflow
29: In forecast_0 * observed_0 : NAs produced by integer overflow
30: In forecast_0 * observed_0 : NAs produced by integer overflow
31: In forecast_0 * observed_0 : NAs produced by integer overflow
32: In forecast_0 * observed_0 : NAs produced by integer overflow
33: In forecast_0 * observed_0 : NAs produced by integer overflow
34: In forecast_0 * observed_0 : NAs produced by integer overflow
35: In forecast_0 * observed_0 : NAs produced by integer overflow
36: In forecast_0 * observed_0 : NAs produced by integer overflow
37: In forecast_0 * observed_0 : NAs produced by integer overflow
38: In forecast_0 * observed_0 : NAs produced by integer overflow
39: In forecast_0 * observed_0 : NAs produced by integer overflow
40: In forecast_0 * observed_0 : NAs produced by integer overflow
41: In forecast_0 * observed_0 : NAs produced by integer overflow
42: In forecast_0 * observed_0 : NAs produced by integer overflow
43: In forecast_0 * observed_0 : NAs produced by integer overflow
44: In forecast_0 * observed_0 : NAs produced by integer overflow
45: In forecast_0 * observed_0 : NAs produced by integer overflow
46: In forecast_0 * observed_0 : NAs produced by integer overflow
47: In forecast_0 * observed_0 : NAs produced by integer overflow
48: In forecast_0 * observed_0 : NAs produced by integer overflow
49: In forecast_0 * observed_0 : NAs produced by integer overflow
50: In forecast_0 * observed_0 : NAs produced by integer overflow
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