parameter)2, initialization, n=0,w=03. Enter the training sample and specify its expected output for each training sample: Class A is recorded as 1, Class B is 14. Calculate the actual output y=sign (w*x+b)5. Update weights vector W (n+1) =w (n) +a[d-y (n)]*x (n), 06, judgment, if the convergence condition is satisfied, the algorithm ends, otherwise returns 3Note that the learning rate a for the stability of the weight should not be too large, in order to reflect the error on the weight of the
be back.
7, select the Pen tool, draw a crescent-shaped, and then fill the brown #c07c3e. The outline of the new Iris is not too much to mind, as it will not be apparent in the process of being portrayed.
8, in order to make the iris look more lifelike, double click the eye shape layer, and then set the inner shadow effect, set uncheck use Global light, angle -79°, size 10 p
from low to High is roughly ranked as follows: I7-3689y
However, in order to reflect the level of product differentiation, the performance of the adjacent two-level processor is generally very small (5%-10%), consumers in the purchase of the time or according to their own pockets to choose as appropriate, rather than blindly pursue performance, focus on cost-effective is a very sensible choice.
Intel® Haswell Platform Mobile version processor
The new Haswell processor has a higher performanc
processors, and presents a trend of low power consumption for high-end products with lower performance. But the most striking new upgrade comes from the iris Core video card, which, compared to the core graphics integrated with the previous platform, actually enhances the performance of iris (Sharp Torch) and Iris Pro (Rui Torch Pro), which is even more than dou
from low to High is roughly ranked as follows: I7-3689y
However, in order to reflect the level of product differentiation, the performance of the adjacent two-level processor is generally very small (5%-10%), consumers in the purchase of the time or according to their own pockets to choose as appropriate, rather than blindly pursue performance, focus on cost-effective is a very sensible choice.
Intel® Haswell Platform Mobile version processor
The new Haswell processor has a higher performanc
1.
KNN principle:
There is a collection of sample data, also called a training sample set, and there is a label for each data in the sample set, that is, we know the correspondence between each data in the sample set and the owning category. After entering new data with no labels, each feature of the new data is compared with the characteristics of the data in the sample set, and the algorithm extracts the category labels of the most similar data (nearest neighbor) in the sample set. In general,
two kinds and the population obeys multivariate normal distribution. code example: NBSP; > if (Require (MASS) == FALSE) + " mass " ) +} > > Model1=lda (Species~.,data=iris) > table class ) > table Setosa versicolor virginica setosa 50 0 0 versicolor 0 2 virginica 0 1 49> sum (diag (prop.table (table))) ## #判对率 [1] 0.98 as a result, only three of the samples were observed to be judged incorrectly. After the discriminant function is est
The process of K-means clustering is demonstrated below on the iris dataset.First remove the species property from the iris dataset, then call the function Kmeans on the dataset Iris and store the cluster results in a variable kmeans.result.In the following code, the number of clusters is set to 3.Iris2 Iris2$species (Kmeans.result Compare cluster results to clas
Preface
Based on official documentation, the iris dataset is mainly categorized. Use Tf.contrib.learn.tf.contrib.learn to quickly build a deep network classifier, step into CSV data set up network classifier Training Network compute the correct rate of the test sets and classify the new samples
The iris DataSet contains 150 rows of data and has three different types of
it in the face so that it touches the tip of the nose.
Using the nose as a key object, align the ellipse to the nose. To do this, you need to select 2 shapes and hold down the ALT key when you click the nose shape. You will see a thick stroke around your nose to indicate the key object. Go to the Alignment panel and click the Horizontal center alignment.
Then select the Anchor Point tool (SHIFT-C) and move down the anchor handle of the bottom anchor point to about 45 °. Use a
Often thought to climb the mountains small, can, often and actually come to the beginning, Daniel, slowly step to my notes PA share it, please~
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Follow-up add more content:
Application One: What are the members of the If family? --if/ifelse/stopifnot Application Two: How to consume real time output in the loop.
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1. Circulation
# #循环for
Iris
allzl=unique (
I. PrefaceThe new version of Foxmail provides the "express mail" function. At first, I did not know how to use it. Later I learned to set the IP address of the local DNS server in tools> System Options.I think this new function is quite useful. You do not need to use the SMTP proxy to directly send emails to the mail exchanger in which the mailbox is located. At the beginning of the summer vacation, I want to implement this function in VC ++. After capturing the package with
, and the future price of a stock is predicted to be a return task because the price has a continuous value attribute. Both tasks aim to train a model so that the error between the predicted value of the target variable and the actual value is minimized. Predictive models can be used to determine customer responses to product promotions, to predict disturbances in the Earth's ecosystems, or to determine whether a patient suffers from a disease based on the results of the examination.Example 1.1
Tags: DNS Server Linux socket DNS protocol details
I. PrefaceThe new version of Foxmail provides the "express mail" function. At first, I did not know how to use it. Later I learned to set the IP address of the local DNS server in tools> System Options.I think this new function is quite useful. You do not need to use the SMTP proxy to directly send emails to the mail exchanger in which the mailbox is located. At the beginning of the summer vacation, I want to implement this function in VC ++. Af
. Net open source project LINK
Project
URL
Introduction
Rainbow
Http://www.rainbowportal.net/Http://sourceforge.net/projects/rainbowportal/
The Rainbow Project is an Open Source Initiative to build a comprehensive content management system using Microsoft's ASP. NET and C # technologies.
Data Access Application Block
Http://www.gotdotnet.com/workspaces/workspace.aspx? C20d12b0-af52-402b-9b7c-aaeb21d1f431
Dotnetnuke
Ht
this article, you only need to download the Nginx configuration on the website.
Set $ mobile_rewrite do_not_perform; if ($ http_user_agent ~ * "(Android | bb \ d + | meego ). + mobile | avantgo | bada \/| blackberry | blazer | compal | Eline | fennec | hiptop | iemobile | ip (hone | od) | iris | kindle | lge | maemo | midp | mmp | mobile. + firefox | netfront | opera m (ob | in) I | palm (OS )? | Phone | p (ixi | re) \/| plucker | pocket | psp | ser
negative example, the value of the predicted negative case is the correct prediction value, that is, if it is a positive example, then take TP, if it is negative, then take TN, which is the forecast score.Python implements pseudo-code
#precision和recall的求法如上 # The main introduction to Python Paint Library import matplotlib.pyplot ad plt# mainly used for matrix operation of the library import numpy as np# import iris data and training see previous
probability that the first sample belongs to Class J, then the number of all samples belonging to class J is the sum of W (i,j), each sample XI corresponds to the value of Class J is W (i,j) Xi, so that the average is the class J corresponding Mu, The variance that continues to be calculated according to this idea is the sigma^2 of Class J, and the probability of class J is the number of class J divided by the total number of samples. So, although the GMM model is a little scary, but think abou
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