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Original link: http://tecdat.cn/?p=24152What is PCR? (PCR = PCA + MLR)• PCR is a regression technique that processes many x variables • given Y and X data: • PCA on X matrix – define a new variable: principal component (score) • in multivariate linearity_ Return_ (_MLR_)   Some of these new variables are used ...

Original link: http://tecdat.cn/?p=24148Especially in economics / econometrics, modelers do not believe that their models can reflect reality. For example, the yield curve does not follow the three factor Nelson Siegel model, the relationship between stocks and their related factors is not linear, and the volatility does not follow the Garch(1, ...

Linear regression hand tearing [^ 1] %matplotlib inline import random import torch from d2l import torch as d2l Construct dataset y = X w + b ...

Welcome to my official account, reply to 001 Google programming specification.  O_o   >_<   o_O   O_o   ~_~   o_O   this paper analyzes and introduces darknet parse_network_cfg interface, which is a hard core, is mainly used to load the model structure and implement the operator.1. darknet data loading routine    Previous ...

Common methods to prevent over fitting of neural networks include: 1. Reduce network capacity; 2. Add weight regularization; 3. Add dropout; 4. Get more training data. Overfitting and underfitting Over fitting and under fitting In order to prevent the model from learning wrong or irrelevant patterns from the training data, the best solution ...

Image text cross modal similarity comparison and retrieval SDK [Chinese] Note: Due to network reasons, the multilingual version of the CLIP model cannot be downloaded after multiple attempts. https://github.com/FreddeFrallan/Multilingual-CLIP Therefore, the second step is to use the SDK previously made to translate Chinese into English, first ...

2021SC@SDUSC   catalogue 1, Previous review 1.PP-OCR character recognition strategy 2. Introduction to this strategy Why data enhancement Data enhancement test process Data enhancement in image field PP - Introduction to OCR data enhancement strategy 2, Introduction to BDA and TLA 1. Overview of data enhancement methods   2.TLA ...

  1, Game problem analysis [Alibaba cloud Tianchi algorithm challenge] Introduction to zero basics NLP - News Text Classification - Day1 - Game Title Understanding_ 202xxx blog - CSDN blog 2, Data reading After downloading the data, anaconda and python 3.8 are recommended for data reading and model training First install the required m ...

abstract The first part of this section mainly reviews the computational logic of RNN model, the difference between RNN model and MLP, as well as the characteristics, defects and solutions of RNN (gradient clipping), and then takes the text data set as the training sample to realize the RNN prediction model from scratch, and the concise im ...

preface This article mainly shows how to import CSV files with variable names into Python, such as a series of continuously changing files, such as: r1.csvr2.csvr3.csv... I'll use a simple example to illustrate this concept and provide complete Python code. Typical application scenarios We often encounter the following scenarios: Create a ...