Category : scalar

If we define scalar multiplication given a point 𝑃P and a scalar π‘Ža as π‘Žπ‘ƒ=π‘Ž(π‘₯,𝑦)=(π‘Žπ‘₯,π‘Žπ‘¦)aP=a(x,y)=(ax,ay) and we can define the inner product for points 𝑃,𝑄P,Q as 𝑃⋅𝑄=(π‘₯1,𝑦1)β‹…(π‘₯2,𝑦2)=π‘₯1π‘₯2+𝑦1𝑦2Pβ‹…Q=(x1,y1)β‹…(x2,y2)=x1x2+y1y2 To test that you’ve implemented this correctly, compute 2(π‘₯,𝑦)β‹…(π‘₯,𝑦)2(x,y)β‹…(x,y) for a Point object. Source: Python..

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In API calling a JSON object as a input parameter, I am giving as null for that object and run the python code throwing the error: "cannot call json_populate_recordset on a scalar". If I give any data to JSON object it’s working fine. Here is my python code. result = execute_function.put(params, db_functions.fn_upd_tasks) if (task_resource!=”): for ..

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I am wanting to make print statements "showing my working out" of Binary Cross Entropy loss function, that works with scalar inputs, not arrays. import math as m import numpy as np y_ans = 1 y_pred = 1 print("Cost(y,y^) = -yln(y^) – (1-y)-y^ln(1-y^)") print(‘Cost(‘+str(y_ans)+’, ‘+str(y_pred)+’) = -‘+str(y_ans)+’ln(‘+str(y_pred)+’) -(‘+str(1-y_ans)+’)ln(‘+str(1-y_pred)+’)’) #ans = round((-y_ans*m.log(y_pred)) – ((1-y_ans)*m.log(1-y_pred)), 2) ans ..

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