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Kinetic Panel | Rotation Panel with 5th Point attractor

1. Rotation Panel with Point attractor (attractor point : adaptive point no.5) 2. Family Type Dialog box "Rotation Panel" Family 3. Ref_Point attractor Dynamo Script & Repeat command
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Natural Language Processing in Python

Logistic Regression 01. Hypothesis Representation

"Sigmoid Function," also called the "Logistic Function": h θ ( x )= g ( θ T x ) z = θ T x g ( z )=1/(1+ e − z ) The following image shows us what the sigmoid function looks like: The function g(z), shown here, maps any real number to the (0, 1) interval, making it useful for transforming an arbitrary-valued function into a function better suited for classification. h θ ​ ( x )  will give us the  probability  that our output is 1. For example,  h θ ​ ( x )=0.7  gives us a probability of 70% that our output is 1. Our probability that our prediction is 0 is just the complement of our probability that it is 1 (e.g. if probability that it is 1 is 70%, then the probability that it is 0 is 30%). h θ ( x )= P ( y =1| x ; θ )=1− P ( y =0| x ; θ ) P ( y =0| x ; θ )+ P ( y =1| x ; θ )=1 reference : Andrew Ug, Machine Learning