Use of h2o cluster for Neural Network Model
I'm trying to fit an ANN model to a dataset having 7 predictor variables and the response variable is a binary.
I have converted all the required factor variables to numeric (If I am correct, this is a requirement) and the following error pops up?
In .h2o.startModelJob(algo, params, h2oRestApiVersion) :
Dropping bad and constant columns: [Month, Day of Month, Day Of Week].
Please suggest a way out.
Thanks,
SK
r neural-network artificial-intelligence cluster-computing h2o
asked Nov 21 '18 at 23:40
srkalesrkale
112
add a comment |
I'm trying to fit an ANN model to a dataset having 7 predictor variables and the response variable is a binary.
I have converted all the required factor variables to numeric (If I am correct, this is a requirement) and the following error pops up?
In .h2o.startModelJob(algo, params, h2oRestApiVersion) :
Dropping bad and constant columns: [Month, Day of Month, Day Of Week].
Please suggest a way out.
Thanks,
SK
r neural-network artificial-intelligence cluster-computing h2o
asked Nov 21 '18 at 23:40
srkalesrkale
112
Are you able to fit any other simple model on your data? Say, a simpleglm? If not, then check whether you transformfactorstonumericcorrectly. One way is throughmodel.matrix()
– Nutle
Nov 22 '18 at 15:27
Okay. I'll check if I can do that. Thanks
– srkale
Nov 22 '18 at 16:41
add a comment |
I'm trying to fit an ANN model to a dataset having 7 predictor variables and the response variable is a binary.
I have converted all the required factor variables to numeric (If I am correct, this is a requirement) and the following error pops up?
In .h2o.startModelJob(algo, params, h2oRestApiVersion) :
Dropping bad and constant columns: [Month, Day of Month, Day Of Week].
Please suggest a way out.
Thanks,
SK
r neural-network artificial-intelligence cluster-computing h2o
asked Nov 21 '18 at 23:40
srkalesrkale
112
I'm trying to fit an ANN model to a dataset having 7 predictor variables and the response variable is a binary.
I have converted all the required factor variables to numeric (If I am correct, this is a requirement) and the following error pops up?
In .h2o.startModelJob(algo, params, h2oRestApiVersion) :
Dropping bad and constant columns: [Month, Day of Month, Day Of Week].
Please suggest a way out.
Thanks,
SK
r neural-network artificial-intelligence cluster-computing h2o
r neural-network artificial-intelligence cluster-computing h2o
asked Nov 21 '18 at 23:40
srkalesrkale
112
asked Nov 21 '18 at 23:40
srkalesrkale
112
asked Nov 21 '18 at 23:40
srkalesrkale
112
asked Nov 21 '18 at 23:40
srkalesrkale
112
asked Nov 21 '18 at 23:40
srkalesrkale
112
112
Are you able to fit any other simple model on your data? Say, a simpleglm? If not, then check whether you transformfactorstonumericcorrectly. One way is throughmodel.matrix()
– Nutle
Nov 22 '18 at 15:27
Okay. I'll check if I can do that. Thanks
– srkale
Nov 22 '18 at 16:41
add a comment |
Are you able to fit any other simple model on your data? Say, a simpleglm? If not, then check whether you transformfactorstonumericcorrectly. One way is throughmodel.matrix()
– Nutle
Nov 22 '18 at 15:27
Okay. I'll check if I can do that. Thanks
– srkale
Nov 22 '18 at 16:41
Are you able to fit any other simple model on your data? Say, a simple
glm? If not, then check whether you transform factors to numeric correctly. One way is through model.matrix()– Nutle
Nov 22 '18 at 15:27
Are you able to fit any other simple model on your data? Say, a simple
glm? If not, then check whether you transform factors to numeric correctly. One way is through model.matrix()– Nutle
Nov 22 '18 at 15:27
Okay. I'll check if I can do that. Thanks
– srkale
Nov 22 '18 at 16:41
Okay. I'll check if I can do that. Thanks
– srkale
Nov 22 '18 at 16:41
add a comment |
1 Answer
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The message about dropping constant columns is not an error. It is just telling you the model identified that those columns will not impact the predictions and so those columns will be ignored.
answered Nov 22 '18 at 21:58
TomKraljevicTomKraljevic
2,242613
Okay. Thanks for the answer. I have another question, can categorical variables be used in this type of a model?
– srkale
Nov 24 '18 at 14:24
Yes, h2o-3 can use categorical columns as inputs for a model.
– TomKraljevic
Nov 24 '18 at 17:16
add a comment |
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1 Answer
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1 Answer
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The message about dropping constant columns is not an error. It is just telling you the model identified that those columns will not impact the predictions and so those columns will be ignored.
answered Nov 22 '18 at 21:58
TomKraljevicTomKraljevic
2,242613
Okay. Thanks for the answer. I have another question, can categorical variables be used in this type of a model?
– srkale
Nov 24 '18 at 14:24
Yes, h2o-3 can use categorical columns as inputs for a model.
– TomKraljevic
Nov 24 '18 at 17:16
add a comment |
The message about dropping constant columns is not an error. It is just telling you the model identified that those columns will not impact the predictions and so those columns will be ignored.
answered Nov 22 '18 at 21:58
TomKraljevicTomKraljevic
2,242613
Okay. Thanks for the answer. I have another question, can categorical variables be used in this type of a model?
– srkale
Nov 24 '18 at 14:24
Yes, h2o-3 can use categorical columns as inputs for a model.
– TomKraljevic
Nov 24 '18 at 17:16
add a comment |
The message about dropping constant columns is not an error. It is just telling you the model identified that those columns will not impact the predictions and so those columns will be ignored.
answered Nov 22 '18 at 21:58
TomKraljevicTomKraljevic
2,242613
The message about dropping constant columns is not an error. It is just telling you the model identified that those columns will not impact the predictions and so those columns will be ignored.
answered Nov 22 '18 at 21:58
TomKraljevicTomKraljevic
2,242613
answered Nov 22 '18 at 21:58
TomKraljevicTomKraljevic
2,242613
answered Nov 22 '18 at 21:58
TomKraljevicTomKraljevic
2,242613
answered Nov 22 '18 at 21:58
TomKraljevicTomKraljevic
2,242613
2,242613
Okay. Thanks for the answer. I have another question, can categorical variables be used in this type of a model?
– srkale
Nov 24 '18 at 14:24
Yes, h2o-3 can use categorical columns as inputs for a model.
– TomKraljevic
Nov 24 '18 at 17:16
add a comment |
Okay. Thanks for the answer. I have another question, can categorical variables be used in this type of a model?
– srkale
Nov 24 '18 at 14:24
Yes, h2o-3 can use categorical columns as inputs for a model.
– TomKraljevic
Nov 24 '18 at 17:16
Okay. Thanks for the answer. I have another question, can categorical variables be used in this type of a model?
– srkale
Nov 24 '18 at 14:24
Okay. Thanks for the answer. I have another question, can categorical variables be used in this type of a model?
– srkale
Nov 24 '18 at 14:24
Yes, h2o-3 can use categorical columns as inputs for a model.
– TomKraljevic
Nov 24 '18 at 17:16
Yes, h2o-3 can use categorical columns as inputs for a model.
– TomKraljevic
Nov 24 '18 at 17:16
add a comment |
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Are you able to fit any other simple model on your data? Say, a simple
glm? If not, then check whether you transformfactorstonumericcorrectly. One way is throughmodel.matrix()– Nutle
Nov 22 '18 at 15:27
Okay. I'll check if I can do that. Thanks
– srkale
Nov 22 '18 at 16:41