y : numpy array of shape `(N, *)` Targets for the `N` rows in `X`. """ # 检查输入数据`X`的维度是否为2 if X.ndim != 2: raise Exception("X must be two-dimensional") # 使用BallTree模型拟合数据`X`和目标值`y` self._ball_tree.fit(X, y) # 为给定输入数据集 X 生成预测结果...
linear (default): Performs linear interpolation between the two closest data points. lower: Returns the lower of the two data points. higher: Returns the higher of the two data points. midpoint: Returns the midpoint of the two data points. nearest: Returns the nearest data point.Return...
numpy-ml\numpy_ml\ngram\ngram.py # 导入文本包装、抽象基类和计数器模块importtextwrapfromabcimportABC, abstractmethodfromcollectionsimportCounter# 导入 NumPy 库importnumpyasnp# 从自定义的线性回归模块中导入 LinearRegression 类fromnumpy_ml.linear_modelsimportLinearRegression# 从自定义的自然语言处理预处理模块...
math.atan2(y, x) - return atan(y / x), in radians. The result is between -pi and pi math.cos(x) - return the cosine of x radians math.dist(p, q) - return the Euclidean distance between two points p and q, each given as a sequence (or iterable) of coordinates. The two poin...
0 - This is a modal window. No compatible source was found for this media. numpynpimportmatplotlib.pyplotasplt# input data with NaN valuesx=np.linspace(0,10,100)x[::10]=np.nan# introduce NaN valuesy=np.nanpercentile(x,50)# plotting the resultplt.plot(x,np.full_like(x,y),label=...
imshow(w, cmap='hot', interpolation='nearest') plt.show() GELU GPT-2的FFN中的非线性激活函数是GELU(高斯误差线性单元),是ReLU的一种替代方法。它由以下函数近似表示: def gelu(x): return 0.5 * x * (1 + np.tanh(np.sqrt(2 / np.pi) * (x + 0.044715 * x**3))) def relu(x): ...
2. Interpolation Creating ranges for interpolation: Interpolation involves estimating values between two known values.linspace()helps create a range of values that can be used for interpolation, ensuring that the points are evenly spaced. Example: Interpolating data points ...
max() if mn < 0.0 or mx > 1.0: raise ValueError("Values must be between 0.0 and 1.0 for RGB images, got range (%g, %g)" % (mn, mx)) im = ax.imshow(img, interpolation='nearest', clim=clim) else: im = ax.imshow(img, cmap=cmap, interpolation='nearest', clim=clim) if bar ...
This optional parameter specifies the interpolation method to use when the desired percentile lies between two data points i < j: 'linear’: i + (j - i) * fraction, where fraction is the fractional part of the index surrounded by i and j. 'lower’: i. 'higher’: j. 'nearest’: i...
function not implemented real_if_close(a[, tol]) If complex input returns a real array if complex parts are close to zero. function not implemented interp(x, xp, fp[, left, right, period]) One-dimensional linear interpolation. function not implementedRandom...