Model learning result is not found

[finlay-liu]

Hi fukatani,

I install rfg, and then alter the loc_exec/loc_temp path in rgf.py,
when i use rgf_python, it can use fit(), but can not use rgf.predict() or rgf.score(), the error msg is :

/usr/local/lib/python2.7/dist-packages/rgf_sklearn-0.0.1-py2.7.egg/rgf/rgf.pyc in predict_proba(self, X)
    357         model_glob = loc_temp + os.sep + self.file_prefix + "*"
    358         if not glob(model_glob):
--> 359             raise Exception('Model learning result is not found @{0}. This is rgf_python error.'.format(loc_temp))
    360         latest_model_loc = sorted(glob(model_glob), reverse=True)[0]
    361 

Exception: Model learning result is not found @/tmp/rgf. This is rgf_python error.

Thanks for your reading.

[fukatani]

Hi finlay-llu,

Thanks for your report.
Could you check the following item?

1. /tmp/rgf does exist?
2. /tmp/rgf is writable directory without superuser administration?
3. Are there any files in /tmp/rgf?

Normally, training data and model result exist in /tmp/reg

[finlay-liu]

yes the dir /tmp/rgf exist, and also have the train/test file in /tmp/rgf.

[fukatani]

Thanks.
Could you tell me name of all file in /tmp/rgf?

[finlay-liu]

yeah, the output is :

lyz@~/Workspace/Github/LightGBM$ ls /tmp/rgf/
test.data.x  train.data.x  train.data.y

[fukatani]

Hmm. It's strange.
Can your script and (part of) data be pasted?
And rgf_python/rgf/test/test.py is working?

You can execute test by,

python test.py

[finlay-liu]

my own code is

X_train = train_df
y_train = train_label

test_loss = []
for i, (train_index, test_index) in enumerate(kf):
    x_tr = X_train[train_index]; x_te = X_train[test_index]
    y_tr = y_train[train_index]; y_te = y_train[test_index]
    
    clf = RGFClassifier(max_leaf=400,
                    algorithm="RGF_Sib",
                    test_interval=100, verbose=True)
    clf.fit(x_tr, y_tr)
    test_loss.append(clf.score(x_te, y_te))
    
# print np.mean(test_loss)

and i run the example/cross_validation_for_iris.py is ok, and the test/test.py is ok, quite strange, maybe is my code bug.

[finlay-liu]

i fine the bug in my code, the RFG verbose output is

None
"train": 
   algorithm=RGF_Sib
   train_x_fn=/tmp/rgf/train.data.x
   train_y_fn=/tmp/rgf/train.data.y
   Log:ON
   model_fn_prefix=/tmp/rgf/model_c2
--------------------
Sun Mar 12 21:31:18 2017: Reading training data ... 
!Input error!: (Detected in AzSvDataS::_parseDataLine) 
Invalid number expression in line# 1 of the input data file: False 0 5 3000 66993.0 0 1 0 0 0 0 0

so this maybe my own code bug, thx, damn verbose.

[fukatani]

Great!
So your input data including 'False' string?
If so, Data type must be number.
You have to convert it as follows.

False -> 0
True -> 0

[finlay-liu]

yes, thank you fukatani. it's all my fault, thank you again.