Social Information Network Analysis and Engineering
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IntroductionKey takeaways:
Network defines the interactions between the components
How do we reason about networks?
Empirical: Study network data to find organizational principles
Mathematical models: Probabilistic, graph theory
Algorithms for analyzing graphs
我们study network是为了achieve什么？
Paterns and statistical properites of network data
Design principles and models
Understand why networks are organized the way they are (Predict behavior of networked systems)
我们要学习network的什么？
Struc ...
Paddle Learning Notebook
Normalized Training ModelStage 1: Load DataDivide the stage into four sub-stage:
load data file
separate data into groups according to the number of features
divide the dataset into training & test dataset
normalize data to the range of [0, 1]
1.1.1 load data file
12345678import paddleimport numpy as npimport jsondef load_data (): # load data file datafile = '.../.../.../' data = np.fromfile (datafile, sep = ' ')
np.fromfile is used for constructing data from ...