
Neigh_dist, neigh_ind = self.kneighbors(X)įile "C:\Python33\lib\site-packages\sklearn\neighbors\base.py", line 254, in kneighborsįile "C:\Python33\lib\site-packages\sklearn\neighbors\base.py", line 33, in warn_equidistant Return accuracy_score(y, self.predict(X))įile "C:\Python33\lib\site-packages\sklearn\neighbors\classification.py", line 131, in predict Print(knn.fit(X_train, y_train).score(X_test, y_test))įile "C:\Python33\lib\site-packages\sklearn\base.py", line 279, in score Traceback (most recent call last):įile "C:\Users\user2491873\Desktop\scikit_exercise.py", line 30, in sorry if I am missing something very obvious, I am not an actual programmer.
#Veusz image output size code
The predict method also fails when trying to use this dataset, for some reason it seems to work fine for the iris dataset using the code at the very bottom of the question. Does anyone know why this is happening? How can I resolve this? The latest source code can be found in this GitHub repository.I'm trying to do the first exercise on scikit-learn, but even when I run their solution code (shown below) I get the error in the code block immediately following. It is licensed under the GPL version 2 or greater. Veusz is Copyright (C) 2003-2020 Jeremy Sanders and contributors.
#Veusz image output size 64 Bit
Windows binary now built only for 64 bit.

Add multiline FieldTextEdit (#392) field.Switch to unsigned long long for widget IDs to fix build.Make sure line around arrows is solid (#429).New flight-recorder and histogram examples.Add setting to optionally omit paths in document files.Add dataset operations for reversing and subtracting dataset maximum.Add CurrentPath() API command to get current widget path.New colormaps: inferno, magma, moreland, parula, plasma and viridis.Add preferences for number of significant figures in picker.Use same colour for key title as key text (#414).New separate lo and hi error bar styles (#428).New security model allows running arbitrary code for documents in allowed locations.Add keyboard shortcut for showing/hiding widgets (Ctrl+).Double clicking on axis range resets endpoint to Auto.New tools for zooming into plot on click, zooming out, moving plot center and resetting plot axes.Data can be captured from external sources such as Internet sockets or other programs.

It also allows for manipulation and editing of datasets. Veusz provides GUI, Python module, command line, scripting, DBUS and SAMP interfaces to its plotting facilities. The user interface aims to be simple, consistent and powerful.

Graphs are built-up by combining plotting widgets.
#Veusz image output size pdf
It is designed to produce publication-ready PDF or SVG output.
