draftsight dimension

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Tensorflow obtains the variable dimension information.

Tensorflow obtains the variable dimension information. Tensorflow version 1.4 Getting a variable dimension is a frequently used operation. You can use the following operations to obtain a variable dimension in tensorflow: Tensor. shape Tensor. get_shape () Tf. shape (input, name = None, out_type = tf. int32) Perform A simple analysis on the above three o

JAVA 1-dimension and multi-dimensional arrays

array element 3. Reference of one-dimensional array elements The reference method of array elements is as follows: ArrayName [index] Index is an array subscript, which can be an integer constant or expression. The subscript starts from 0. Each array has an attribute length to specify its length. For example, intArray. length indicates the length of the array intArray. Multi-dimensional array In Java, multi-dimensional arrays are considered as arrays of arrays. 1. Two-dimensional array Definitio

Adding dimension annotation to three-dimensional graphics in AutoCAD

Designers in the drawing of some simple three-dimensional graphics, usually need to mark the processing size, such as furniture, shelves and other simple three-dimensional graphics. See a lot of friends are not in the CAD to mark the size, but in the CAD to draw the figure after the print out, with a pen and then mark the size. Today we are in the CAD for a simple shelf three-dimensional graphics dimensioning, for friends as a reference. There is no three-dimensional annotation function in Auto

Foundataions of machine learning: Rademacher complexity and VC-dimension (2)

Foundataions of machine learning: Rademacher complexity and VC-dimension (2) (1) growth Function) Before introducing the growth function, let's introduce an example which will help you understand the growth function. When the input space is $ \ mathbb {r} $, assume that the space is a threshold function, that is, when the input vertex $ x> V $, The point is marked as positive. For example, Figure 1 shows the six assumptions. Figure 1 threshold functi

Differences and relationships between fact tables and dimension tables

Fact tableEach data warehouse contains one or more fact data tables. Fact data tables may contain business sales data, such as data generated by cash registration firms. Fact data tables usually contain a large number of rows. Fact data tables are mainly characterized by digital data (FACTS) that can be summarized to provide relevant units as historical data, each fact table contains an index composed of multiple parts. This index contains the primary key of the foreign key's correlated latitude

6 VC Dimension

1 definition of the VC dimensionVC dimension is actually the sample capacity before the first break point. The standard definition is: For a hypothetical space, if there are n samples can be assumed in the space of the H by all possible 2 of the n-th form of separation, it is said that the hypothetical space can be divided into n samples, assuming that the space VC is the maximum number of samples it can be scattered n. If any number of samples have f

Advanced Techniques for optimizing data warehouses Using Dimension objects

In Oracle Data Warehouse (OLAP), MVIEW, Query Rewrite, and Dimension are very important optimization methods, I don't want to repeat the previous two here, mainly to experience the role of dimension. To play the role of a dimension, we still need to use the previous two. below is the simplest example of a dimension tab

The shift in thinking is far more valuable than simply lifting the operational dimension

experience and insights, but also let me have some different thinking about operation. I think the shift in operational dimension is far more valuable than the mere lifting of operational technology. I think that, in a research and development team, to remove the business requirements to achieve the level of things, the other is the scope of operations, this category of things in essence is in the software lifecycle of the operation of the maintenan

Data Flow->> Slow changing Dimension

Here's a brief talk of SCD.Put two useful link addresses before you speak. The author's two papers explain what SCD is and how it is appliedHttp://www.cnblogs.com/biwork/p/3363749.htmlHttp://www.cnblogs.com/biwork/p/3371338.htmlSlow changing dimension translation comes down to the slowly changing dimension. It is applied to the loading of dimension table data in

Dimension design of a property of small knowledge of data warehouse design

We often encounter this problem in the design of the Data Warehouse: If the dimension has only one attribute in the dimension design, is the choice to create a single dimension for this attribute, or will the attribute of that dimension be placed directly in the fact table as part of the fact table?Suppose there is a

Question of operation and dimension of Linux system

shell script. (The log format is: BTSVR.LOG.2016-01-01, the package backup file format is: btsvr.log.2016-01-01.tar.gz)Answer:Cat bak_logs.sh#!/bin/bash#this is to backup logs#updated by Yehaifeng#qq: 769358362#define Varyesterday= ' Date +%f-d '-1 day 'Log_dir=/var/logBak_dir=/var/log/btslogLog_file=btsvr.logCD $LOG _dir/If [-F $LOG _dir/$LOG _file. $YESTERDAY]; then{Tar zcf $LOG _dir/$LOG _file $YESTERDAY. tar.gz$log_dir/$LOG _file. $YESTERDAY/BIN/MV $LOG _dir/$LOG _file $YESTERDAY. tar.gz/ba

Operational Dimension Search Tool grep, ACK, ag efficiency comparison "drawings"

ObjectiveI often see a lot of programmers, The_silver_searcher in code Search using ACK, and even AG (a), and I work 95% are using grep, the rest is AG. I think it's necessary to have a chat about this topic. I used to be an operational dimension, and I also wanted to find the best and quickest tool to use in every aspect of my work. But I'm curious as to why AG and ACK are not built into Linux distributions. The built-in is always grep. My original u

A multidimensional array to one dimension in JS

Method One: Use the array map () method, which runs the given function for each item in an array, and returns a list of the results of each function call.Let arr = [1, [2, [[3,4],5],6]];function Onedimensionalarray (arr) { "). Split (','// Convert the array to a string and then comma-delimited to array let arr2 = Arr1.map (function (x ) {return number (x); }); return arr2;} Console.log (Onedimensionalarray (arr));Law two: Using apply combined with concat,

One of the Linux operation and Learning notes: the principles of operational dimension and learning methods __linux

minimize 6, configure parameters to be reasonable, do not maximize four, Try to walk the way others walk, the probability of a small problem (operation Dimension requirements Stable) Chapter Two learning methods First, in use memory Two, summarize the technical points through the case Third, drawing to remember knowledge points, make knowledge easier, easy to remember four, when a command output, contains the content of the need, to th

SSAS: Dimension design based on snowflake model

Product and product subcategories based on the dimensions of the snowflake model, as an example. There is a foreign key relationship between the DimProduct table and the DimProductSubcategory table, and there is a foreign key relationship between the DimProductSubcategory table and the Dimproductcategory table. Dimension tables and data for testing- Use biwork_ssis go if object_id (' dimproduct ') are not NULL DROP TABLE dimproduct go if object_

Operational dimension support for desktop virtualization

Although desktop virtualization is very hot, but for the operation of the department, desktop virtualization is a new thing, how to solve the problem of desktop operation? There is no good tool to provide such a function to help the operational department to solve this problem. XenDesktop 5 brought such a tool desktop Director, it can provide the operation of the maintenance department of the desktop Monitoring and management tasks, to solve some of the problems arising in the operational

Longitude dimension calculation distance in SQL

------------------------------------------Create a method----------------------------------------------------------------------@LatBegin latitude A (33.8703596)----@LngBegin Longitude A ( -117.9242966)----@LatEnd latitude B (34.0392283)----@LngEnd Longitude B ( -117.8367681)--CREATE FUNCTION [dbo].[fngetdistance](@LatBegin REAL,@LngBegin REAL,@LatEnd REAL,@LngEnd REAL)RETURNS FLOAT as BEGIN --distance (km) DECLARE @Distance REAL --distance (miles)-- DECLARE @Edistance REAL DECLARE @EAR

Notes when creating a Multidimensional Dataset dimension

An important difference between multidimensional data and two-dimensional data in common relational databases is that there are some additional Dimension, that is, adding more conditions to data display. Therefore, the dimension concept in a multi-dimensional dataset is It is very important that we have recently reached the Data Warehouse. It may be said that the data mart is more spec

Share dimension tables between data warehouses (marketplaces)

Some people often ask a question: do fact tables and dimension tables must be in a database? Why is there such a problem? As we mentioned, if the data warehouse is large enough, it may be split into so-called data mart. Generally, the division is based on the so-called different business modules, such as personnel management, sales management, and financial management. Some people often ask a question: do fact tables and

Js one-dimensional array, multi-dimensional array and Object Mixed use method, js dimension

Js one-dimensional array, multi-dimensional array and Object Mixed use method, js dimension The main purpose of this article is to explain the mixed use of JavaScript arrays and objects. Due to the weak check feature of JS, different types of variables can be stored in the JS array at the same time, for example, you can place numbers, strings, characters, objects, and other content in the same array. Objects can also do the same thing. The difference

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