{"action":"created","issue":{"url":"https://api.github.com/repos/cod3licious/autofeat/issues/3","repository_url":"https://api.github.com/repos/cod3licious/autofeat","labels_url":"https://api.github.com/repos/cod3licious/autofeat/issues/3/labels{/name}","comments_url":"https://api.github.com/repos/cod3licious/autofeat/issues/3/comments","events_url":"https://api.github.com/repos/cod3licious/autofeat/issues/3/events","html_url":"https://github.com/cod3licious/autofeat/issues/3","id":438555420,"node_id":"MDU6SXNzdWU0Mzg1NTU0MjA=","number":3,"title":"error: Unable to find vcvarsall.bat","user":{"login":"jmrichardson","id":6565528,"node_id":"MDQ6VXNlcjY1NjU1Mjg=","avatar_url":"https://avatars3.githubusercontent.com/u/6565528?v=4","gravatar_id":"","url":"https://api.github.com/users/jmrichardson","html_url":"https://github.com/jmrichardson","followers_url":"https://api.github.com/users/jmrichardson/followers","following_url":"https://api.github.com/users/jmrichardson/following{/other_user}","gists_url":"https://api.github.com/users/jmrichardson/gists{/gist_id}","starred_url":"https://api.github.com/users/jmrichardson/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jmrichardson/subscriptions","organizations_url":"https://api.github.com/users/jmrichardson/orgs","repos_url":"https://api.github.com/users/jmrichardson/repos","events_url":"https://api.github.com/users/jmrichardson/events{/privacy}","received_events_url":"https://api.github.com/users/jmrichardson/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":8,"created_at":"2019-04-30T00:01:57Z","updated_at":"2019-05-02T20:32:41Z","closed_at":"2019-05-02T20:32:41Z","author_association":"NONE","body":"I got this error on windows 10:\r\n\r\n```\r\ndf = model.fit_transform(X, y)\r\n[AutoFeatRegression] The 3 step feature engineering process could generate up to 2864745 features.\r\n[AutoFeatRegression] With 48573 data points this new feature matrix would use about 556.60 gb of space.\r\nStep 1: transformation of original features\r\n              0/             83Traceback (most recent call last):\r\n  File \"D:\\Anaconda3\\envs\\quant\\lib\\site-packages\\sympy\\utilities\\autowrap.py\", line 168, in _process_files\r\n    retoutput = check_output(command, stderr=STDOUT)\r\n  File \"D:\\Anaconda3\\envs\\quant\\lib\\subprocess.py\", line 356, in check_output\r\n    **kwargs).stdout\r\n  File \"D:\\Anaconda3\\envs\\quant\\lib\\subprocess.py\", line 438, in run\r\n    output=stdout, stderr=stderr)\r\nsubprocess.CalledProcessError: Command '['D:\\\\Anaconda3\\\\envs\\\\quant\\\\python.exe', 'setup.py', 'build_ext', '--inplace']' returned non-zero exit status 1.\r\nDuring handling of the above exception, another exception occurred:\r\nTraceback (most recent call last):\r\n  File \"D:\\Anaconda3\\envs\\quant\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3291, in run_code\r\n    exec(code_obj, self.user_global_ns, self.user_ns)\r\n  File \"<ipython-input-19-818b183e7273>\", line 1, in <module>\r\n    df = model.fit_transform(X, y)\r\n  File \"D:\\Anaconda3\\envs\\quant\\lib\\site-packages\\autofeat\\autofeat.py\", line 249, in fit_transform\r\n    self.feateng_steps, self.transformations)\r\n  File \"D:\\Anaconda3\\envs\\quant\\lib\\site-packages\\autofeat\\feateng.py\", line 249, in generate_features\r\n    original_features.extend(apply_tranformations(original_features))\r\n  File \"D:\\Anaconda3\\envs\\quant\\lib\\site-packages\\autofeat\\feateng.py\", line 194, in apply_tranformations\r\n    f = ufuncify(t, expr_temp)\r\n  File \"D:\\Anaconda3\\envs\\quant\\lib\\site-packages\\sympy\\core\\cache.py\", line 94, in wrapper\r\n    retval = cfunc(*args, **kwargs)\r\n  File \"D:\\Anaconda3\\envs\\quant\\lib\\site-packages\\sympy\\utilities\\autowrap.py\", line 1105, in ufuncify\r\n    return code_wrapper.wrap_code(routines, helpers=helps)\r\n  File \"D:\\Anaconda3\\envs\\quant\\lib\\site-packages\\sympy\\utilities\\autowrap.py\", line 828, in wrap_code\r\n    self._process_files(routines)\r\n  File \"D:\\Anaconda3\\envs\\quant\\lib\\site-packages\\sympy\\utilities\\autowrap.py\", line 172, in _process_files\r\n    \" \".join(command), e.output.decode('utf-8')))\r\nsympy.utilities.autowrap.CodeWrapError: Error while executing command: D:\\Anaconda3\\envs\\quant\\python.exe setup.py build_ext --inplace. Command output is:\r\nrunning build_ext\r\nrunning build_src\r\nbuild_src\r\nbuilding extension \"wrapper_module_1\" sources\r\nbuild_src: building npy-pkg config files\r\nNo module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils\r\ncustomize MSVCCompiler\r\ncustomize MSVCCompiler using build_ext\r\nbuilding 'wrapper_module_1' extension\r\ncompiling C sources\r\nerror: Unable to find vcvarsall.bat\r\n```"},"comment":{"url":"https://api.github.com/repos/cod3licious/autofeat/issues/comments/488822231","html_url":"https://github.com/cod3licious/autofeat/issues/3#issuecomment-488822231","issue_url":"https://api.github.com/repos/cod3licious/autofeat/issues/3","id":488822231,"node_id":"MDEyOklzc3VlQ29tbWVudDQ4ODgyMjIzMQ==","user":{"login":"cod3licious","id":1093567,"node_id":"MDQ6VXNlcjEwOTM1Njc=","avatar_url":"https://avatars1.githubusercontent.com/u/1093567?v=4","gravatar_id":"","url":"https://api.github.com/users/cod3licious","html_url":"https://github.com/cod3licious","followers_url":"https://api.github.com/users/cod3licious/followers","following_url":"https://api.github.com/users/cod3licious/following{/other_user}","gists_url":"https://api.github.com/users/cod3licious/gists{/gist_id}","starred_url":"https://api.github.com/users/cod3licious/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/cod3licious/subscriptions","organizations_url":"https://api.github.com/users/cod3licious/orgs","repos_url":"https://api.github.com/users/cod3licious/repos","events_url":"https://api.github.com/users/cod3licious/events{/privacy}","received_events_url":"https://api.github.com/users/cod3licious/received_events","type":"User","site_admin":false},"created_at":"2019-05-02T20:32:41Z","updated_at":"2019-05-02T20:32:41Z","author_association":"OWNER","body":"@jmrichardson alright, version 0.2 is out! This should fix your original error and additionally allows for NaNs in the transform function (in fit this is not possible due to the dependence on the sklearn model, but I'm sure in this huge dataset you have you'll find a few rows that don't contain NaNs anywhere). I'm closing this issue now - let me know if there are any other problems! :)"}}
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