From f67f8fdbcf5064cff0fa0455c750681fcd54fe7f Mon Sep 17 00:00:00 2001 From: ngayraud Date: Tue, 14 May 2019 18:16:39 +0200 Subject: Fixed pep8 related issue --- ot/da.py | 23 ++++++++++++----------- 1 file changed, 12 insertions(+), 11 deletions(-) (limited to 'ot') diff --git a/ot/da.py b/ot/da.py index 9a67724..479e698 100644 --- a/ot/da.py +++ b/ot/da.py @@ -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 -- cgit v1.2.3