Pandas options and customization

Pandas provides API s to define some aspects of its behavior, mostly for display. The API consists of five related functions. They are- get_option() set_option() reset_option() describe_option() option_context() get_option(param) Get option (param) requires a parameter and returns the value given in the output display.max_rows Displays the de ...

Posted on Sun, 29 Mar 2020 04:55:11 -0400 by heltr

Moment pool cloud|Predict molecular properties using LightGBM

Today we introduce Boosting, a machine learning algorithm that can be used to reduce the bias in supervised learning. The question is posed by Michael Kearns: can a set of "weak learners" produce a "strong learner"? Weak learners generally refer to a classifier whose results are only slightly better than random classificati ...

Posted on Thu, 26 Mar 2020 22:14:15 -0400 by simmsy

DGL & RDKit | Atomic Weight Based on Attentive FP Visual Training Model

DGL has many functions for chemical informatics, drug and bioinformatics tasks. The DGL developer provides code to visualize the atomic weights of the training model.After building the model with Attentive FP, you can visualize the atomic weights of a given molecule, meaning the contribution of each ...

Posted on Sat, 14 Mar 2020 20:28:57 -0400 by ryanfern86goa

TensorFlow2.X - tf.function && Autograph Introduction and Use

Tf.function & & Autograph Introduction and Use To get the best performance and make the model deployable anywhere, you can use tf.function to build diagrams from your programs.Because of AutoGraph, you can use tf.function to build high-performance Python code. 1. tf.function compiles functio ...

Posted on Sun, 01 Mar 2020 21:34:54 -0500 by geebo

Opencv Python core operation

Basic operation of image Loading images >>> import numpy as np >>> import cv2 as cv >>> img = cv.imread('messi5.jpg') it returns an array of Blue, Green, Red values Get BGR value of a point >>> px = img[100,100] >>> print( px ) [157 166 200] #accessing onl ...

Posted on Sat, 29 Feb 2020 00:42:21 -0500 by justspiffy

[important notes on data analysis and mining 2]

Article directory Software to install - Anaconda Detailed installation steps and methods of Anaconda Anaconda quick download address Choose your version That's it Detailed installation steps of Anacon ...

Posted on Thu, 20 Feb 2020 05:33:04 -0500 by FireyIce01

DataWhale team learning punch

Preface Record the second time of punch in team learning of "manual learning deep learning" Daily attendance Linear regression code implementation (based on Python) Theoretical review Part of linear regression theory can be referred to Last blog Realization of linear regression model f ...

Posted on Tue, 18 Feb 2020 07:18:55 -0500 by gotry

PYTHON basic knowledge learning notes

Catalog Object persistence flat file pickle Serialize to string Serialize to file shelve String nature Summary Character encoding Encoding and decoding of byte and text Type conversion BOM processing Object persistence Object persistence: to permanently store the data results or state curr ...

Posted on Sun, 16 Feb 2020 05:58:18 -0500 by Leadwing

[hands on deep learning note] day02 "fashion MNIST data set & two methods of softmax implementation

softmax regression 1, Get fashion MNIST training set and read data Here we will use the torch vision package, which serves the PyTorch deep learning framework and is mainly used to build the computer vision model.-Torch vision is mainly composed of the following parts: torchvision.datasets: some fu ...

Posted on Fri, 14 Feb 2020 10:55:13 -0500 by tjhilder

Datawhale "hands on deep learning"

Hands on deep learning Day 1 linear regression Softmax and classification model Multilayer perceptron Basic knowledge code implementation Day2 Text preprocessing General steps Code example Language model brief introduction n meta syntax Language model data set Read data set Build character i ...

Posted on Fri, 14 Feb 2020 10:03:29 -0500 by webguy262