TypeError: a float is required: "self.svc.fit(self.scaler.transform(self.XX), self.yy)"

[tianwen2976]

I am trying to run the example from your instructions. data comes from example/data.csv

I am getting the error:

Traceback (most recent call last): File "test.py", line 22, in backtest.start(data, kernel='rbf', C=1, gamma=10) File "/home/machol/virtualenv/local/lib/python2.7/site-packages/clairvoyant/engine.py", line 197, in start Engine.start(self, data, **kwargs) File "/home/machol/virtualenv/local/lib/python2.7/site-packages/clairvoyant/engine.py", line 60, in start self.model.fit(X, y) File "/home/machol/virtualenv/local/lib/python2.7/site-packages/clairvoyant/engine.py", line 22, in fit self.svc.fit(self.scaler.transform(self.XX), self.yy) File "/home/machol/virtualenv/local/lib/python2.7/site-packages/sklearn/svm/base.py", line 187, in fit fit(X, y, sample_weight, solver_type, kernel, random_seed=seed) File "/home/machol/virtualenv/local/lib/python2.7/site-packages/sklearn/svm/base.py", line 254, in _dense_fit max_iter=self.max_iter, random_seed=random_seed) File "sklearn/svm/libsvm.pyx", line 59, in sklearn.svm.libsvm.fit TypeError: a float is required

My python version is 2.7.9。

[anfederico]

Seems like the package is starting to lose compatibility with Python 2.7, especially for those with newer versions of pandas, numpy, matplotlib installed. Can you try in Python 3?

[tianwen2976]

Ok, I am trying with python 3.

[tianwen2976]

I use Python 3.4 and I still get the same error.

Traceback (most recent call last):
  File "test.py", line 22, in <module>
    backtest.start(data, kernel='rbf', C=1, gamma=10)
  File "/home/machol/virtualenv3/lib/python3.4/site-packages/clairvoyant/engine.py", line 197, in start
    Engine.start(self, data, **kwargs)
  File "/home/machol/virtualenv3/lib/python3.4/site-packages/clairvoyant/engine.py", line 60, in start
    self.model.fit(X, y)
  File "/home/machol/virtualenv3/lib/python3.4/site-packages/clairvoyant/engine.py", line 22, in fit
    self.svc.fit(self.scaler.transform(self.XX), self.yy)
  File "/home/machol/virtualenv3/lib/python3.4/site-packages/sklearn/svm/base.py", line 187, in fit
    fit(X, y, sample_weight, solver_type, kernel, random_seed=seed)
  File "/home/machol/virtualenv3/lib/python3.4/site-packages/sklearn/svm/base.py", line 254, in _dense_fit
    max_iter=self.max_iter, random_seed=random_seed)
  File "sklearn/svm/libsvm.pyx", line 59, in sklearn.svm.libsvm.fit
TypeError: a float is required

---

Below is the installed library：

Package         Version
--------------- -------
backports-abc   0.5    
bokeh           0.13.0 
clairvoyant     1.0    
cycler          0.10.0 
Jinja2          2.10   
kiwisolver      1.0.1  
MarkupSafe      1.0    
matplotlib      2.2.3  
numpy           1.15.1 
packaging       17.1   
pandas          0.23.4 
pip             18.0   
pyparsing       2.2.0  
python-dateutil 2.7.3  
pytz            2018.5 
PyYAML          3.13   
scikit-learn    0.19.2 
scipy           1.1.0  
setuptools      5.5.1  
six             1.11.0 
tornado         5.1    

[tianwen2976]

@anfederico I think the position of **kwargs should be put to the end.

self.svc = SVC(**kwargs, probability=True) =>
self.svc = SVC(probability=True, **kwargs) 

After modifying, the program runs successfully.

[anfederico]

Whoops, you're right, it should be at the end.