ML not showing properly. how can I fix this?

📊 Plotly Python
1

I posted another one, but changed the code, and cant show everything.

this is where the problem is:

    model.fit(X_train, y_train)

    x_range = np.linspace(df[drop1].min(),df[drop1].max(), 100)
    print("xrangeshape",x_range)
    print("xrange",np.shape(x_range))
    x_range=x_range.squeeze()
    print("xrangereshaped",np.shape(x_range))

    y_range = model.predict(x_range.reshape(100,2))
    print("yrange",y_range)
    print("yrange",np.shape(y_range))
    y_range=np.array(y_range).squeeze()
    print("yrangereshaped",np.shape(y_range))
    print("yrange",y_range)

that results in this:

xrange (100, 2)
xrangereshaped (100, 2)
yrange (100, 2)
yrangereshaped (100, 2)

what can I do to fix this? it doesnt give errors, but the image doesnt show propperly

2

I chagned some things … (just guessing:…) and got this error:

ValueError: X has 1 features, but LinearRegression is expecting 2 features as input.

this is what I changed:


    x_range = np.linspace(df[drop1].min(),df[drop1].max(), 100)
    print("xrangeshape",x_range)
    print("xrange",np.shape(x_range))
    x_range=x_range.squeeze()
    x_range=x_range.reshape(200,1)
    print("xrangereshaped",np.shape(x_range))

    y_range = model.predict(x_range.reshape(-200,1))
    print("yrange",y_range)
    print("yrange",np.shape(y_range))
    y_range=np.array(y_range).squeeze()
    print("yrangereshaped",np.shape(y_range))
    print("yrange",y_range)
3

Hi @topotaman ,

IMHO you should post your question on stackoverflow, this is not related to plotly or dash.

4

Hello topotaman
Did you took a look the examples in the documentation?