10 examples of 'numpy random uniform' in Python

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208def _uniform(val_range):
209 """
210 Uniformly sample from the given range.
211
212 Args
213 val_range: A pair of lower and upper bound.
214 """
215 return np.random.uniform(val_range[0], val_range[1])
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309def uniform(self, a, b):
310 """Get a random number in the range [a, b) or [a, b] depending on rounding."""
311 return a + (b - a) * self.random()
98def _uniform(self, np_array):
99 np_array[:] = np.random.uniform(self.low, self.high, len(np_array))
32def get_uniform(self):
33 return np.random.uniform(self.value[0], self.value[1])
47def uniform(self, low, high, axes, dtype=None):
48 """
49 Returns a tensor initialized with a uniform distribution from low to high with axes.
50
51 Arguments:
52 low: The lower limit of the distribution.
53 high: The upper limit of the distribution.
54 axes: The axes of the tensor.
55 dtype: If supplied, the type of the values.
56
57 Returns:
58 The initialized tensor.
59
60 """
61 if dtype is None:
62 dtype = self.dtype
63
64 return np.array(
65 self.rng.uniform(
66 low,
67 high,
68 ng.make_axes(axes).lengths),
69 dtype=dtype)
178def rand(*args, **kargs):
179 low, high = kargs["low"], kargs["high"]
180 if low == high:
181 return np.full(kargs["size"], low)
182 else:
183 return rs.rand(*kargs["size"])*(high - low) + low
32def _random(self, size=None):
33 uu = np.random.uniform(size=size)
34 return np.exp(uu * self._fac + np.log(self.a))
19def uniform(low, up, size=None):
20 try:
21 return [np.random.uniform(a, b) for a, b in zip(low, up)]
22 except TypeError:
23 return [np.random.uniform(a, b) for a, b in zip([low] * size, [up] * size)]
360def rng_uniform(rng):
361 """Get the unform/randint from the rng."""
362 # prefer Generator.integers, fall back to RandomState.randint
363 return getattr(rng, 'integers', getattr(rng, 'randint', None))
379def _gen_random(self, X):
380 return np.random.random(size = X.shape[0])

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