fix matrix facto imports

Former-commit-id: 036ffd9
online-ml · Dec 1, 2021 · 8997df5 · 8997df5
1 parent a6d44ac
commit 8997df5
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Showing 2 changed files with 10 additions and 10 deletions.
diff --git a/docs/examples/matrix-factorization-for-recommender-systems-part-1.ipynb b/docs/examples/matrix-factorization-for-recommender-systems-part-1.ipynb
@@ -266,7 +266,7 @@
     }
    ],
    "source": [
-    "from river import meta\n",
+    "from river import preprocessing\n",
     "from river import optim\n",
     "from river import reco\n",
     "\n",
@@ -276,7 +276,7 @@
     "    'initializer': optim.initializers.Zeros()\n",
     "}\n",
     "\n",
-    "model = meta.PredClipper(\n",
+    "model = preprocessing.PredClipper(\n",
     "    regressor=reco.Baseline(**baseline_params),\n",
     "    y_min=1,\n",
     "    y_max=5\n",
@@ -344,7 +344,7 @@
     "    'initializer': optim.initializers.Normal(mu=0., sigma=0.1, seed=73)\n",
     "}\n",
     "\n",
-    "model = meta.PredClipper(\n",
+    "model = preprocessing.PredClipper(\n",
     "    regressor=reco.FunkMF(**funk_mf_params),\n",
     "    y_min=1,\n",
     "    y_max=5\n",
@@ -415,7 +415,7 @@
     "    'l2_latent': 0.\n",
     "}\n",
     "\n",
-    "model = meta.PredClipper(\n",
+    "model = preprocessing.PredClipper(\n",
     "    regressor=reco.BiasedMF(**biased_mf_params),\n",
     "    y_min=1,\n",
     "    y_max=5\n",

diff --git a/docs/examples/matrix-factorization-for-recommender-systems-part-2.ipynb b/docs/examples/matrix-factorization-for-recommender-systems-part-2.ipynb
@@ -132,7 +132,7 @@
    "source": [
     "from river import compose\n",
     "from river import facto\n",
-    "from river import meta\n",
+    "from river import preprocessing\n",
     "from river import optim\n",
     "from river import stats\n",
     "\n",
@@ -154,7 +154,7 @@
     "regressor = compose.Select('user', 'item')\n",
     "regressor |= facto.FMRegressor(**fm_params)\n",
     "\n",
-    "model = meta.PredClipper(\n",
+    "model = preprocessing.PredClipper(\n",
     "    regressor=regressor,\n",
     "    y_min=1,\n",
     "    y_max=5\n",
@@ -341,7 +341,7 @@
     ")\n",
     "regressor |= facto.FMRegressor(**fm_params)\n",
     "\n",
-    "model = meta.PredClipper(\n",
+    "model = preprocessing.PredClipper(\n",
     "    regressor=regressor,\n",
     "    y_min=1,\n",
     "    y_max=5\n",
@@ -425,7 +425,7 @@
     ")\n",
     "regressor |= facto.HOFMRegressor(**hofm_params)\n",
     "\n",
-    "model = meta.PredClipper(\n",
+    "model = preprocessing.PredClipper(\n",
     "    regressor=regressor,\n",
     "    y_min=1,\n",
     "    y_max=5\n",
@@ -509,7 +509,7 @@
     ")\n",
     "regressor |= facto.FFMRegressor(**ffm_params)\n",
     "\n",
-    "model = meta.PredClipper(\n",
+    "model = preprocessing.PredClipper(\n",
     "    regressor=regressor,\n",
     "    y_min=1,\n",
     "    y_max=5\n",
@@ -589,7 +589,7 @@
     ")\n",
     "regressor |= facto.FwFMRegressor(**fwfm_params)\n",
     "\n",
-    "model = meta.PredClipper(\n",
+    "model = preprocessing.PredClipper(\n",
     "    regressor=regressor,\n",
     "    y_min=1,\n",
     "    y_max=5\n",