This is how I managed to build TensorFlow 2.0 on Ubuntu 18.04 (x86_64) with Bazelisk:
$ sudo apt update
$ sudo apt full-upgrade
$ sudo apt install curl
# Install Bazelisk.
$ sudo curl -Lo /usr/local/bin/bazel https://github.com/bazelbuild/bazelisk/releases/download/v1.1.0/bazelisk-linux-amd64
$ sudo chmod +x /usr/local/bin/bazel
| import pandas as pnd | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| def pos(t, x1, v1, b, c): | |
| return x1 + v1*t + (t**2)*b/2 + (t**3)*c/6 | |
| def kinematic_interpolation(xytvv, times): |
| import numpy as np | |
| import pdb | |
| from sklearn.datasets import make_classification | |
| from sklearn.mixture import GaussianMixture as GMM | |
| def fisher_vector(xx, gmm): | |
| """Computes the Fisher vector on a set of descriptors. |
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