tol: 容忍度,即kmeans运行准则收敛的条件 precompute_distances:是否需要提前计算距离,这个参数会在空间和时间之间做权衡,如果是True 会把整个距离矩阵都放到内存中,auto 会默认在数据样本大于featurs*samples 的数量大于12e6 的时候False,False 时核心实现的方法是利用Cpython 来实现的 verbose: 冗长
This means you write C++ code that builds an in-memory representation of a Halide pipeline using Halide's C++ API. You can then compile this representation to an object file, or JIT-compile it and run it in the same process. Halide also provides a Python binding that provides full support...
The default behaviour in Transitions is to process events instantly. This means events within an on_enter method will be processed before callbacks bound to after are called.def go_to_C(): global machine machine.to_C() def after_advance(): print("I am in state B now!") def entering_...
This practically means that all the errors within the ε-tube in Fig. 2a are ignored, providing a better generalization ability of the model (Muller et al., 1997). Instances located at the edges of the ε-tube are called support vectors. Of course, it is not always possible to ...
(with the same events and partial inputs) means fewer poorly predicted sensory features are stored in the autoassociative MHN, leading to more prototypical recall with increased reconstruction error.c, Average reconstruction error and number of sensory features (that is, pixels) stored in the auto...
Three-letter ISO currency code, in lowercase. Must be a supported currency. Returns Returns a PaymentIntent object. POST /v1/payment_intents/:id/apply_customer_balance Server-side language curl -X POST https://api.stripe.com/v1/payment_intents/pi_1GszwY2eZvKYlo2CohCEmT6b/apply_customer...
The&&represents "and". It means both conditions must be true to execute the statement in the true branch. These examples also show that you can have multiple statements in each conditional branch, provided you enclose them in{and}. You can also use||to represent "or": ...
Suppose we have ten new features, and they are independent of each other, which means their effects are additive. Leveraging online A/B tests, we estimate the revenue improvement from each feature, shown in the Observed column of the below figure. Image from [1], `True` Column denotes th...
PyKaldiasrmodule includes a number of easy-to-use, high-level classes to make it dead simple to put together ASR systems in Python. Ignoring the boilerplate code needed for setting things up, doing ASR with PyKaldi can be as simple as the following snippet of code: ...
In this setting, run the library outside the accelerate launcher, but passing parallelize=True to --model_args as follows: lm_eval --model hf \ --tasks lambada_openai,arc_easy \ --model_args parallelize=True \ --batch_size 16 This means that your model's weights will be split across...