diff options
author | ngayraud <nat.gayraud@gmail.com> | 2019-05-14 18:16:39 +0200 |
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committer | ngayraud <nat.gayraud@gmail.com> | 2019-05-14 18:16:39 +0200 |
commit | f67f8fdbcf5064cff0fa0455c750681fcd54fe7f (patch) | |
tree | b7eb79b683cac2b5889a39177ecc2c140b6cc43c /ot/da.py | |
parent | b9e69fb29043540079f277d2df0fc9005773f86d (diff) |
Fixed pep8 related issue
Diffstat (limited to 'ot/da.py')
-rw-r--r-- | ot/da.py | 23 |
1 files changed, 12 insertions, 11 deletions
@@ -645,7 +645,8 @@ def OT_mapping_linear(xs, xt, reg=1e-6, ws=None, The function estimates the optimal linear operator that aligns the two empirical distributions. This is equivalent to estimating the closed form mapping between two Gaussian distributions :math:`N(\mu_s,\Sigma_s)` - and :math:`N(\mu_t,\Sigma_t)` as proposed in [14] and discussed in remark 2.29 in [15]. + and :math:`N(\mu_t,\Sigma_t)` as proposed in [14] and discussed in remark + 2.29 in [15]. The linear operator from source to target :math:`M` @@ -1198,14 +1199,14 @@ class SinkhornTransport(BaseTransport): distribution_estimation : callable, optional (defaults to the uniform) The kind of distribution estimation to employ out_of_sample_map : string, optional (default="ferradans") - The kind of out of sample mapping to apply to transport samples - from a domain into another one. Currently the only possible option is + The kind of out of sample mapping to apply to transport samples + from a domain into another one. Currently the only possible option is "ferradans" which uses the method proposed in [6]. limit_max: float, optional (defaul=np.infty) Controls the semi supervised mode. Transport between labeled source - and target samples of different classes will exhibit an cost defined + and target samples of different classes will exhibit an cost defined by this variable - + Attributes ---------- coupling_ : array-like, shape (n_source_samples, n_target_samples) @@ -1299,8 +1300,8 @@ class EMDTransport(BaseTransport): distribution_estimation : callable, optional (defaults to the uniform) The kind of distribution estimation to employ out_of_sample_map : string, optional (default="ferradans") - The kind of out of sample mapping to apply to transport samples - from a domain into another one. Currently the only possible option is + The kind of out of sample mapping to apply to transport samples + from a domain into another one. Currently the only possible option is "ferradans" which uses the method proposed in [6]. limit_max: float, optional (default=10) Controls the semi supervised mode. Transport between labeled source @@ -1405,8 +1406,8 @@ class SinkhornLpl1Transport(BaseTransport): distribution_estimation : callable, optional (defaults to the uniform) The kind of distribution estimation to employ out_of_sample_map : string, optional (default="ferradans") - The kind of out of sample mapping to apply to transport samples - from a domain into another one. Currently the only possible option is + The kind of out of sample mapping to apply to transport samples + from a domain into another one. Currently the only possible option is "ferradans" which uses the method proposed in [6]. limit_max: float, optional (defaul=np.infty) Controls the semi supervised mode. Transport between labeled source @@ -1526,8 +1527,8 @@ class SinkhornL1l2Transport(BaseTransport): distribution_estimation : callable, optional (defaults to the uniform) The kind of distribution estimation to employ out_of_sample_map : string, optional (default="ferradans") - The kind of out of sample mapping to apply to transport samples - from a domain into another one. Currently the only possible option is + The kind of out of sample mapping to apply to transport samples + from a domain into another one. Currently the only possible option is "ferradans" which uses the method proposed in [6]. limit_max: float, optional (default=10) Controls the semi supervised mode. Transport between labeled source |