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R - XGBoost: Error building DMatrix
I am having trouble using the XGBoost in R.
I am reading a CSV file with my data:
get_data = function()
{
#Loading Data
path = "dados_eye.csv"
data = read.csv(path)
#Dividing into two groups
train_porcentage = 0.05
train_lines = nrow(data)*train_porcentage
train = data[1:train_lines,]
test = data[train_lines:nrow(data),]
rownames(train) = c(1:nrow(train))
rownames(test) = c(1:nrow(test))
return (list("test" = test, "train" = train))
}
This function is Called my the main.R
lista_dados = get_data()
#machine = train_svm(lista_dados$train)
#machine = train_rf(lista_dados$train)
machine = train_xgt(lista_dados$train)
The problem is here in the train_xgt
train_xgt = function(train_data)
{
data_train = data.frame(train_data[,1:14])
label_train = data.frame(factor(train_data[,15]))
print(is.data.frame(data_train))
print(is.data.frame(label_train))
dtrain = xgb.DMatrix(data_train, label=label_train)
machine = xgboost(dtrain, num_class = 4 ,max.depth = 2,
eta = 1, nround = 2,nthread = 2,
objective = "binary:logistic")
return (machine)
}
This is the Error:
becchi@ubuntu:~/Documents/EEG_DATA/Dados_Eye$ Rscript main.R
[1] TRUE
[1] TRUE
Error in xgb.DMatrix(data_train, label = label_train) :
xgb.DMatrix: does not support to construct from list Calls: train_xgt
-> xgb.DMatrix Execution halted becchi@ubuntu:~/Documents/EEG_DATA/Dados_Eye$
As you can see, they are both DataFrames.
I dont know what I am doing wrong, please help!
r dataframe machine-learning xgboost
asked Mar 12 '17 at 3:37
Gabriel Chaves BecchiGabriel Chaves Becchi
86111
add a comment |
I am having trouble using the XGBoost in R.
I am reading a CSV file with my data:
get_data = function()
{
#Loading Data
path = "dados_eye.csv"
data = read.csv(path)
#Dividing into two groups
train_porcentage = 0.05
train_lines = nrow(data)*train_porcentage
train = data[1:train_lines,]
test = data[train_lines:nrow(data),]
rownames(train) = c(1:nrow(train))
rownames(test) = c(1:nrow(test))
return (list("test" = test, "train" = train))
}
This function is Called my the main.R
lista_dados = get_data()
#machine = train_svm(lista_dados$train)
#machine = train_rf(lista_dados$train)
machine = train_xgt(lista_dados$train)
The problem is here in the train_xgt
train_xgt = function(train_data)
{
data_train = data.frame(train_data[,1:14])
label_train = data.frame(factor(train_data[,15]))
print(is.data.frame(data_train))
print(is.data.frame(label_train))
dtrain = xgb.DMatrix(data_train, label=label_train)
machine = xgboost(dtrain, num_class = 4 ,max.depth = 2,
eta = 1, nround = 2,nthread = 2,
objective = "binary:logistic")
return (machine)
}
This is the Error:
becchi@ubuntu:~/Documents/EEG_DATA/Dados_Eye$ Rscript main.R
[1] TRUE
[1] TRUE
Error in xgb.DMatrix(data_train, label = label_train) :
xgb.DMatrix: does not support to construct from list Calls: train_xgt
-> xgb.DMatrix Execution halted becchi@ubuntu:~/Documents/EEG_DATA/Dados_Eye$
As you can see, they are both DataFrames.
I dont know what I am doing wrong, please help!
r dataframe machine-learning xgboost
asked Mar 12 '17 at 3:37
Gabriel Chaves BecchiGabriel Chaves Becchi
86111
2
what if you convert thedata.frameinput usingdata.matrix()? xgboost may not like the data.frame
– Sam Firke
Mar 13 '17 at 0:57
add a comment |
I am having trouble using the XGBoost in R.
I am reading a CSV file with my data:
get_data = function()
{
#Loading Data
path = "dados_eye.csv"
data = read.csv(path)
#Dividing into two groups
train_porcentage = 0.05
train_lines = nrow(data)*train_porcentage
train = data[1:train_lines,]
test = data[train_lines:nrow(data),]
rownames(train) = c(1:nrow(train))
rownames(test) = c(1:nrow(test))
return (list("test" = test, "train" = train))
}
This function is Called my the main.R
lista_dados = get_data()
#machine = train_svm(lista_dados$train)
#machine = train_rf(lista_dados$train)
machine = train_xgt(lista_dados$train)
The problem is here in the train_xgt
train_xgt = function(train_data)
{
data_train = data.frame(train_data[,1:14])
label_train = data.frame(factor(train_data[,15]))
print(is.data.frame(data_train))
print(is.data.frame(label_train))
dtrain = xgb.DMatrix(data_train, label=label_train)
machine = xgboost(dtrain, num_class = 4 ,max.depth = 2,
eta = 1, nround = 2,nthread = 2,
objective = "binary:logistic")
return (machine)
}
This is the Error:
becchi@ubuntu:~/Documents/EEG_DATA/Dados_Eye$ Rscript main.R
[1] TRUE
[1] TRUE
Error in xgb.DMatrix(data_train, label = label_train) :
xgb.DMatrix: does not support to construct from list Calls: train_xgt
-> xgb.DMatrix Execution halted becchi@ubuntu:~/Documents/EEG_DATA/Dados_Eye$
As you can see, they are both DataFrames.
I dont know what I am doing wrong, please help!
r dataframe machine-learning xgboost
asked Mar 12 '17 at 3:37
Gabriel Chaves BecchiGabriel Chaves Becchi
86111
I am having trouble using the XGBoost in R.
I am reading a CSV file with my data:
get_data = function()
{
#Loading Data
path = "dados_eye.csv"
data = read.csv(path)
#Dividing into two groups
train_porcentage = 0.05
train_lines = nrow(data)*train_porcentage
train = data[1:train_lines,]
test = data[train_lines:nrow(data),]
rownames(train) = c(1:nrow(train))
rownames(test) = c(1:nrow(test))
return (list("test" = test, "train" = train))
}
This function is Called my the main.R
lista_dados = get_data()
#machine = train_svm(lista_dados$train)
#machine = train_rf(lista_dados$train)
machine = train_xgt(lista_dados$train)
The problem is here in the train_xgt
train_xgt = function(train_data)
{
data_train = data.frame(train_data[,1:14])
label_train = data.frame(factor(train_data[,15]))
print(is.data.frame(data_train))
print(is.data.frame(label_train))
dtrain = xgb.DMatrix(data_train, label=label_train)
machine = xgboost(dtrain, num_class = 4 ,max.depth = 2,
eta = 1, nround = 2,nthread = 2,
objective = "binary:logistic")
return (machine)
}
This is the Error:
becchi@ubuntu:~/Documents/EEG_DATA/Dados_Eye$ Rscript main.R
[1] TRUE
[1] TRUE
Error in xgb.DMatrix(data_train, label = label_train) :
xgb.DMatrix: does not support to construct from list Calls: train_xgt
-> xgb.DMatrix Execution halted becchi@ubuntu:~/Documents/EEG_DATA/Dados_Eye$
As you can see, they are both DataFrames.
I dont know what I am doing wrong, please help!
r dataframe machine-learning xgboost
r dataframe machine-learning xgboost
asked Mar 12 '17 at 3:37
Gabriel Chaves BecchiGabriel Chaves Becchi
86111
asked Mar 12 '17 at 3:37
Gabriel Chaves BecchiGabriel Chaves Becchi
86111
asked Mar 12 '17 at 3:37
Gabriel Chaves BecchiGabriel Chaves Becchi
86111
asked Mar 12 '17 at 3:37
Gabriel Chaves BecchiGabriel Chaves Becchi
86111
asked Mar 12 '17 at 3:37
Gabriel Chaves BecchiGabriel Chaves Becchi
86111
86111
2
what if you convert thedata.frameinput usingdata.matrix()? xgboost may not like the data.frame
– Sam Firke
Mar 13 '17 at 0:57
add a comment |
2
what if you convert thedata.frameinput usingdata.matrix()? xgboost may not like the data.frame
– Sam Firke
Mar 13 '17 at 0:57
2
2
what if you convert the
data.frame input using data.matrix()? xgboost may not like the data.frame– Sam Firke
Mar 13 '17 at 0:57
what if you convert the
data.frame input using data.matrix()? xgboost may not like the data.frame– Sam Firke
Mar 13 '17 at 0:57
add a comment |
3 Answers
3
active
oldest
votes
Just convert data frame to matrix first using as.matrix() and then pass to xgb.Dmatrix().
edited Nov 19 '18 at 21:37
samadhi
1,4491121
answered Jun 29 '17 at 7:02
ad28ad28
12913
add a comment |
Check if all columns have numeric data in them- I think this could be because you have some column that has data stored as factors/ characters which it won't be able to convert to a matrix. if you have factor variables, you can use one-hot encoding to convert them into dummy variables.
answered Mar 14 '17 at 9:11
biabia
113
add a comment |
"As you can see, they are both DataFrames." -Gabriel Chaves Becchi
A data frame is just a list of vectors. Might be why you're seeing "list".
answered Feb 13 at 0:12
Nigel TufnelNigel Tufnel
111
This should have been a comment, not an answer. With a bit more rep, you will be able to post comments.
– CloC
Feb 13 at 0:57
add a comment |
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3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
Just convert data frame to matrix first using as.matrix() and then pass to xgb.Dmatrix().
edited Nov 19 '18 at 21:37
samadhi
1,4491121
answered Jun 29 '17 at 7:02
ad28ad28
12913
add a comment |
Just convert data frame to matrix first using as.matrix() and then pass to xgb.Dmatrix().
edited Nov 19 '18 at 21:37
samadhi
1,4491121
answered Jun 29 '17 at 7:02
ad28ad28
12913
add a comment |
Just convert data frame to matrix first using as.matrix() and then pass to xgb.Dmatrix().
edited Nov 19 '18 at 21:37
samadhi
1,4491121
answered Jun 29 '17 at 7:02
ad28ad28
12913
Just convert data frame to matrix first using as.matrix() and then pass to xgb.Dmatrix().
edited Nov 19 '18 at 21:37
samadhi
1,4491121
answered Jun 29 '17 at 7:02
ad28ad28
12913
edited Nov 19 '18 at 21:37
samadhi
1,4491121
edited Nov 19 '18 at 21:37
samadhi
1,4491121
edited Nov 19 '18 at 21:37
samadhi
1,4491121
1,4491121
answered Jun 29 '17 at 7:02
ad28ad28
12913
answered Jun 29 '17 at 7:02
ad28ad28
12913
answered Jun 29 '17 at 7:02
ad28ad28
12913
12913
add a comment |
add a comment |
Check if all columns have numeric data in them- I think this could be because you have some column that has data stored as factors/ characters which it won't be able to convert to a matrix. if you have factor variables, you can use one-hot encoding to convert them into dummy variables.
answered Mar 14 '17 at 9:11
biabia
113
add a comment |
Check if all columns have numeric data in them- I think this could be because you have some column that has data stored as factors/ characters which it won't be able to convert to a matrix. if you have factor variables, you can use one-hot encoding to convert them into dummy variables.
answered Mar 14 '17 at 9:11
biabia
113
add a comment |
Check if all columns have numeric data in them- I think this could be because you have some column that has data stored as factors/ characters which it won't be able to convert to a matrix. if you have factor variables, you can use one-hot encoding to convert them into dummy variables.
answered Mar 14 '17 at 9:11
biabia
113
Check if all columns have numeric data in them- I think this could be because you have some column that has data stored as factors/ characters which it won't be able to convert to a matrix. if you have factor variables, you can use one-hot encoding to convert them into dummy variables.
answered Mar 14 '17 at 9:11
biabia
113
answered Mar 14 '17 at 9:11
biabia
113
answered Mar 14 '17 at 9:11
biabia
113
answered Mar 14 '17 at 9:11
biabia
113
113
add a comment |
add a comment |
"As you can see, they are both DataFrames." -Gabriel Chaves Becchi
A data frame is just a list of vectors. Might be why you're seeing "list".
answered Feb 13 at 0:12
Nigel TufnelNigel Tufnel
111
This should have been a comment, not an answer. With a bit more rep, you will be able to post comments.
– CloC
Feb 13 at 0:57
add a comment |
"As you can see, they are both DataFrames." -Gabriel Chaves Becchi
A data frame is just a list of vectors. Might be why you're seeing "list".
answered Feb 13 at 0:12
Nigel TufnelNigel Tufnel
111
This should have been a comment, not an answer. With a bit more rep, you will be able to post comments.
– CloC
Feb 13 at 0:57
add a comment |
"As you can see, they are both DataFrames." -Gabriel Chaves Becchi
A data frame is just a list of vectors. Might be why you're seeing "list".
answered Feb 13 at 0:12
Nigel TufnelNigel Tufnel
111
"As you can see, they are both DataFrames." -Gabriel Chaves Becchi
A data frame is just a list of vectors. Might be why you're seeing "list".
answered Feb 13 at 0:12
Nigel TufnelNigel Tufnel
111
answered Feb 13 at 0:12
Nigel TufnelNigel Tufnel
111
answered Feb 13 at 0:12
Nigel TufnelNigel Tufnel
111
answered Feb 13 at 0:12
Nigel TufnelNigel Tufnel
111
111
This should have been a comment, not an answer. With a bit more rep, you will be able to post comments.
– CloC
Feb 13 at 0:57
add a comment |
This should have been a comment, not an answer. With a bit more rep, you will be able to post comments.
– CloC
Feb 13 at 0:57
This should have been a comment, not an answer. With a bit more rep, you will be able to post comments.
– CloC
Feb 13 at 0:57
This should have been a comment, not an answer. With a bit more rep, you will be able to post comments.
– CloC
Feb 13 at 0:57
add a comment |
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2
what if you convert the
data.frameinput usingdata.matrix()? xgboost may not like the data.frame– Sam Firke
Mar 13 '17 at 0:57