awesome datasets

Alibabacloud.com offers a wide variety of articles about awesome datasets, easily find your awesome datasets information here online.

Learn wpf--using font-awesome icon font

Icon Font Introduction before introducing the icon font, we have to introduce the icon format Iconicon is an icon format, our operating system in various applications include an icon such as the QQ program icon is a lovely penguin, My computer is a monitor icon----------------an icon file is the extension. ico or icon files until now icon files are everywhere in the computer program but sometimes it is necessary to enlarge the icon without distortion because icon itself differs little fr

Font awesome: perfect icon font

I haven't been there for a long time. Although I am not very popular, I still miss my second-acre field. Recently used in platform development, I watched the designer put on a while and prepare the big picture icon. I thought that I would join the CSS-Sprite image with kubi, and then write a lot of class ^ = "icon-XXXX ", there are thousands of lines of tears left here... In fact, there is such an emotion in front-end, "I don't want to switch the icon !!!", I am very much. I am at a loss. Http:/

How do I use Font Awesome in window form?

With the development of technology, the previous Picture button on the web is now gradually replaced by the icon font, these icons are vector, vector diagram means that each icon can be in all sizes of the screen perfect, you can change the size and color at any time, and not distorted, really give people a "tall on" feeling. Because the font awesome is completely free, it is used by more than one person or commercial use. Fonts

Introduction to the usage of volist tags in thinkphp (Result output of query Datasets (select method))

Output even record:View Sourceprint?1 2 3 {$vo. Name}4 5 MoD properties are also used to control the line breaks for a certain record, for example:View Sourceprint?1 2 {$vo. Name}3 4 5 When empty, the output prompt:View Sourceprint?1 2 {$vo. id}| {$vo. Name}3 The empty property does not support direct incoming HTML syntax, but can support variable output, for example:View Sourceprint?1 $this->assign (' Empty ', ' 2 $this->assign (' list ', $list);Then use it in the template:View Sourceprint?1 2

Experiences in adding datasets for existing projects

If you encounter such a task some time ago, You need to merge two projects into one project, add the form and dataset of Project B to project a, and then open the form of B through Project.The previous progress was very smooth. When adding a dataset, the system prompts "the typed dataset will not be compiled. Please open the data in the Dataset Designer, check that each tableadapter has been set to a valid connection! ", The code for opening the form in B is not mentioned. At this time, if you c

Solution to inconsistent query results of all MySQL Datasets

Recently, a very strange MySQL problem occurs. Using different select statements to query all datasets produces different records. Select * gets four records, and select field gets three records.For details, refer to the following query results:[SQL]Mysql> select * from table_myisam;+ ---------- + ------- + ----------- + ------ +| Datetime | uid | content | type |+ ---------- + ------- + ----------- + ------ +| 1 | uid_1 | content_1 | 1 || 2 | uid_2 |

Datasets, DataTable, DataRow, DataColumn differences and usage examples

DataSetRepresents the cache of data in memory.PropertyTables gets the collection of tables contained in the DataSet.Ds. tables["SJXX"]DataTableRepresents a table of in-memory data.Public propertiesColumns gets the collection of columns that belong to the table.The dataset gets the dataset to which this table belongs.DefaultView gets a custom view of a table that might include a filtered view or cursor position.PrimaryKey Gets or sets an array of columns that act as the primary key for the data t

Deep learning datasets + model Descriptions

feature of this data set is the migration of recognition to ubiquitous objects, and it is applied to multiple classifications (the sister dataset Cifar-100 reaches 100 classes, and the ILSVRC game is 1000 classes). Compared with the mature face recognition, pervasive object recognition is a huge challenge, and the data contains a large number of features, noises, and different proportions of the object of recognition, and the classification is huge.3, cifar100The dataset contains 100 small clas

dataset--merge, merging data content from two datasets

In ASP., a dataset can contain more than one data table, and this instance is implemented by merging two data tables into a single dataset that contains all the tables in the original two datasets.Key Technologies:the Merge method of a dataset allows you to merge the contents of another dataset, table collection, or row array into the current data set. The table's primary key, table name, constraints, and so on, all affect the effect of the merged dataset. The merge method is primarily used to m

Data process for large scale datasets

Kmeans: Overall, speed (single thread): Yael_kmeans > Litekmeans ~ Vl_kmeans1.Vl_kemans (win10 + matlab + vs13 compile problem, but Win7 + matlab13 +vs12 can)2.Litekmeans (direct use, single form faster)Http://www.cad.zju.edu.cn/home/dengcai/Data/code/litekmeans.m3.Yael_kmeans (multithreading) Compile time select Useopenmp=yes, matlab make file to add-fopenmp, otherwise cannot multithreading (will appear ignoring #pragma omp parallel). The NT value cannot be adjusted Yael_kmeans plus NT settings

Handwritten numeral recognition using the randomforest of Spark mllib on Kaggle handwritten digital datasets

(0.826) of the last use of naive Bayesian training. Now we start to make predictions for the test data, using the numTree=29,maxDepth=30 following parameters:val predictions = randomForestModel.predict(features).map { p => p.toInt }The results of the training to upload to the kaggle, the accuracy rate is 0.95929 , after my four parameter adjustment, the highest accuracy rate is 0.96586 , set the parameters are: numTree=55,maxDepth=30 , when I change the parameters numTree=70,maxDepth=30 , the a

Implementation code for datasets, strings, DataTable, and objects in C # converted to JSON

C # objects, strings, dataTable, DataReader, datasets, object collections are converted to JSON string methods. public class Convertjson {#region Private method///

Both Cassandra and hbase are designed to manage very large datasets.

In Java mall development, we all know that Cassandra and hbase are nosql databases. In general, this means that you cannot use the SQL database. However, Cassandra uses cql (Cassandra query language), and its syntax has obvious traces of imitating SQL.In JSP mall development, both are designed to manage very large datasets. The hbase file claims that an hbase database can have hundreds of millions or even billions of rows. In addition, users are recom

Python implements HOG+SVM classification of CIFAR-10 datasets (top)

bx, by = Cells_per_block sx, sy = image.shape n_cellsx = Int. (Np.floor (SX/CX)) # Number of cells in x N _cellsy = Int (Np.floor (sy/CY)) # Number of cells in y N_blocksx = (N_CELLSX-BX) + 1 N_blocksy = (n_cellsy-by ) + 1 GX = zeros (SX, SY), dtype=np.double) Gy = zeros (SX, SY), dtype=np.double) EPS = 1e-5 grad = zeros (SX, Sy, 2), dtype=np.double) for I in xrange (1, sx-1): for J in Xrange (1, sy-1): Gx[i, j] = Image[i, j-1 ]-Image[i, j+1] gy[i, j] = Image[i+1, j]-Image[i-1, J] Grad[i, j, 0

021. Merging of ASP. NET two dataset datasets

(); } PrivateDataTable Createdatatable () {DataTable dt=NewDataTable (); Dt. Columns.Add ("ProductCode",typeof(string)); Dt. Columns.Add ("saledate",typeof(DateTime)); Dt. Columns.Add ("SaleAmount",typeof(Double)); DataRow Dr=dt. NewRow (); dr["ProductCode"] ="0001"; dr["saledate"] = Convert.todatetime ("2009-2-1"); dr["SaleAmount"] = +; Dt. Rows.Add (DR); Dr=dt. NewRow (); dr["ProductCode"] ="0001"; dr["saledate"] = Convert.todatetime ("2009-1-1"); dr["SaleAmount"] = -;

R Language Practical reading notes (ii) creating datasets

2.2.2 MatrixMatrix (Vector,nrow,ncol,byrow,dimnames,char_vector_rownames,char_vector_colnames)whichByrow=true/false, which is filled by row or column, is populated by column by default2.2.4 Data Frame1.attach,detach () and with ()Attach (): Add data frame to search pathDetach (): Remove the data frame from the search pathWith (): assignment is only valid in parentheses, if you want to take effect outside of parentheses, use 2.2.5 FactorFactor: A nominal variable and an ordered variable that corr

Learning Building Applications with FME Objects-elements for reading data from Datasets

New FMEOFeature object is created before the read method is called each time. To avoid overwriting the elements of the previous read. Restrictions By executing simple space query and attribute query, the FME object is restricted to read only matching elements. After reading the last element, your application can use the setConstraints method to filter new elements. Use the setConstraints method to specify constraints for the FMEOFeature object and use the attribute to specify fme_search_type f

SAS notes (8) using arrays to reconstruct SAS datasets

In practical applications, we often convert wide data (one patient observation) into long data (one patient observation) or long data (one patient multiple observations) into wide data (one observation for a patient), and in R we can use the Reshape2 package. There are two implementations of the SAS: arrays and transpose. This blog post first explains the use of arrays to reconstruct SAS data, and the next blog post will introduce the use of the transpose function to reconstruct SAS data.1. Wide

R language Practical Reading note 2-creating datasets (top)

any structure mentioned so far.Supplemental Attach (), detach (), and with ()Take the Mtcars dataset in R as an examplefunction attach () to add a data frame to the search path of R. R after encountering a variable name, the data frame in the search path is checked to locate the variable.The function detach () removes the data frame from the search path. It is important to note that detach () does not do any processing on the data frame itself.In addition, the other way is to use the function w

Python naive Bayesian classification mnist datasets

=train_model (train_x,train_y,classnum)For I in Range (Classnum):Print (Prior_probability[i]) #输出一下每个标签的总共数量Time3=time.time ()Print ("Train data Cost", Time3-time2, "second")Print ("Start predicting data ...")Predict_y=predict (test_x,test_y,prior_probability,conditional_probability)Time4=time.time ()Print ("Predict data Cost", Time4-time3, "second")Print ("Start calculate accuracy ...")Acc=cal_accuracy (test_y,predict_y)Time5=time.time ()Print ("Accuarcy", ACC)Print ("Calculate Accuarcy cost",

Total Pages: 15 1 .... 6 7 8 9 10 .... 15 Go to: Go

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.