Lines Matching refs:value_range
40 value_range,
49 determined by the arguments `value_range` and `nbins`.
53 value_range: Shape [2] `Tensor` of same `dtype` as `values`.
54 values <= value_range[0] will be mapped to hist[0],
55 values >= value_range[1] will be mapped to hist[-1].
69 value_range = [0.0, 5.0]
73 indices = tf.histogram_fixed_width_bins(new_values, value_range, nbins=5)
79 [values, value_range, nbins]):
84 value_range = ops.convert_to_tensor(value_range, name='value_range')
88 # Map tensor values that fall within value_range to [0, 1].
90 values - value_range[0],
91 value_range[1] - value_range[0],
94 # map tensor values within the open interval value_range to {0,.., nbins-1},
98 # Clip edge cases (e.g. value = value_range[1]) or "outliers."
106 value_range,
114 equal width and determined by the arguments `value_range` and `nbins`.
118 value_range: Shape [2] `Tensor` of same `dtype` as `values`.
119 values <= value_range[0] will be mapped to hist[0],
120 values >= value_range[1] will be mapped to hist[-1].
133 value_range = [0.0, 5.0]
137 hist = tf.histogram_fixed_width(new_values, value_range, nbins=5)
143 [values, value_range, nbins]) as name:
145 values, value_range, nbins, dtype=dtype, name=name)