# Experiment 2: Logistic Regression and Newton's Method August 29, 2018 ## 1 Description In this exercise, you will use Newton’s Method to implement logistic regression on a classification problem your program and add the $ x_{0}=1 $ intercept term into your x matrix. Before beginning Newton’s Method, we will first plot the data using different symbols to represent the two classes. In Matlab/Octave |L^{+}(\theta)-L(\theta)|\leq\epsilon $$ Try to resolve the logistic regression problem using gradient descent method with the initialization $ \theta = 0 $ , and answer the following questions: 1. Assume $ \epsilon

1886e7a1aa88d06a74f7196cc12c191/p4_2.jpg) Method swizzling  Isa swizzling  Isa swizzling+NSProxy  Others  ## method swizzling ## 拦截的要点： • 拦截到 • 调回去 - 名词约定：原始方法、代理方法  ## method swizzling ## 原理 typedef struct

Amortized Analysis Aggregate analysis Accounting method ☑ Potential method ## Amortized Analysis Aggregate analysis ■ Accounting method ■ Potential method ## ☐ ## ☐ std::vector v(2, 0); v.reserve(4); -|---| auto it1 = rng_non_zero.begin(); ## Let's use another method then Aggregate analysis Accounting method ■ Potential method Let $ T(n) = \sum_{i=1}^{n} c_{i} $ be the worst case execution

静态多态 以前经常使用继承来实现的多态，现在不到万不得已，不会用到继承，而会优先考虑Protocol + Generics NSProxy is gone -_-! No more method swizzling (And other Runtime tricks) 让编译器做它该做的事！ ## TYPE SYSTEMS 强大的Runtime -> 弱小的Runtime • 一个悲伤的故事：

program. Here it is: 1helloworld.rb puts 'hello world' That’s it in its entirety. One method, puts, and one string, ‘hello world’. No headers or class definitions, no import sections or ‘main’ command window), the obvious next step is to 'get' a string. As you might guess, the Ruby method for this is gets. The 2helloname.rb prompts the user for his or her name – let's suppose it's Let’s assume that you have a method called showname, which returns the string ‘Fred’. The following string would, in the process of evaluation, call the showname method and, as a result, it would display

task Whenever we want to execute our task, we use the delay() method of the task class. This is a handy shortcut to the apply_async() method which gives greater control of the task execution (see Executing exceptions to actually send emails about. ### Task.序列izer A string identifying the default serialization method to use. Defaults to the CELERY TASK SERIALIZER setting. Can be pickle json, yaml, or any custom serialization custom task classes All tasks inherit from the celery.task.Task class. The tasks body is its run() method. The following code, @task def add(x, y): return x + y will do roughly this behind the scenes:

task Whenever we want to execute our task, we use the delay() method of the task class. This is a handy shortcut to the apply_async() method which gives greater control of the task execution (see Executing actually send e-mails about. ### Task.serializer A string identifying the default serialization method to use. Defaults to the CELERY TASK SERIALIZER setting. Can be pickle json, yaml, or any custom serialization get_object_or_404(Entry, slug=slug) remote_addr = request.META.get("REMOTE_ADDR") if request.method == "post": form = CommentForm(request.POST, request.FILES) if form.is_valid():

task Whenever we want to execute our task, we use the delay() method of the task class. This is a handy shortcut to the apply_async() method which gives greater control of the task execution (see Executing actually send emails about. ### Task.serializer A string identifying the default serialization method to use. Defaults to the CELERY TASK SERIALIZER setting. Can be pickle json, yaml, or any custom serialization custom task classes All tasks inherit from the celery.task.Task class. The task’s body is its run() method. The following code, @task def add(x, y): return x + y will do roughly this behind the scenes:

task Whenever we want to execute our task, we use the delay() method of the task class. This is a handy shortcut to the apply_async() method which gives greater control of the task execution (see Executing exceptions to actually send emails about. ### Task.序列izer A string identifying the default serialization method to use. Defaults to the CELERY TASK SERIALIZER setting. Can be pickle json, yaml, or any custom serialization task classes All tasks inherit from the celery.task.Task class. The task's body is its run() method. The following code, @task def add(x, y): return x + y will do roughly this behind the scenes:

can tell your Celery instance to use a configuration module, by calling the app.config from object method: ann_config_from_object('celeryconfig') This is a test A module named celeryconfig.py Calling Tasks You can call a task using the delay() method: >>> add.delay(2, 2) This method is actually a star-argument shortcut to another method called apply_async(): >>> add.apply_async((2 ## Canvas: Designing Work-flows You just learned how to call a task using the tasks delay method, and this is often all you need, but sometimes you may want to pass the signature of a task invocation