Version upgrade from 5.0.1 to 5.1.0

Author: Nirmal-nibo

README.md

@@ -85,7 +85,7 @@ Read the documentation at **[Nyoka Documentation](https://softwareag.github.io/n
 
 
 *  [`tsa.arima_model.ARIMA`](https://github.com/statsmodels/statsmodels/blob/master/statsmodels/tsa/arima_model.py#L1026)
-*  [`tsa.arima.model.ARIMA`](https://github.com/statsmodels/statsmodels/blob/master/statsmodels/tsa/arima/model.py#L26) _(In statespace form)_
+*  [`tsa.arima.model.ARIMA`](https://github.com/statsmodels/statsmodels/blob/master/statsmodels/tsa/arima/model.py#L26) _(Extension of SARIMAX)_
 *  [`tsa.statespace.SARIMAX`](https://github.com/statsmodels/statsmodels/blob/master/statsmodels/tsa/statespace/sarimax.py#L31)
 *  [`tsa.statespace.VARMAX`](https://github.com/statsmodels/statsmodels/blob/master/statsmodels/tsa/statespace/varmax.py#L33)
 *  [`tsa.statespace.ExponentialSmoothing`](https://github.com/statsmodels/statsmodels/blob/master/statsmodels/tsa/statespace/exponential_smoothing.py#L31)

examples/lgbm/1_lgbm.ipynb

@@ -36,13 +36,7 @@
     {
      "data": {
       "text/plain": [
-       "Pipeline(memory=None,\n",
-       "     steps=[('lgbmc', LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,\n",
-       "        learning_rate=0.1, max_depth=-1, min_child_samples=20,\n",
-       "        min_child_weight=0.001, min_split_gain=0.0, n_estimators=100,\n",
-       "        n_jobs=-1, num_leaves=31, objective=None, random_state=None,\n",
-       "        reg_alpha=0.0, reg_lambda=0.0, silent=True, subsample=1.0,\n",
-       "        subsample_for_bin=200000, subsample_freq=0))])"
+       "Pipeline(steps=[('lgbmc', LGBMClassifier())])"
       ]
      },
      "execution_count": 1,
@@ -71,6 +65,73 @@
     "pipeline_obj.fit(irisd[features],irisd[target])"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "irisd.to_csv(\"iris.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import nyoka"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'5.0.1'"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nyoka.__version__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import lightgbm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'3.2.1'"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lightgbm.__version__"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -80,7 +141,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 7,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-08-13T17:10:46.702727Z",
@@ -103,9 +164,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Pipeline(steps=[('lgbmr', LGBMRegressor())])"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "auto = pd.read_csv('auto-mpg.csv')\n",
     "X = auto.drop(['mpg','car name'], axis=1)\n",
@@ -130,17 +202,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
     "lgb_to_pmml(pipeline_obj,feature_names,target_name,\"lgbmr_pmml.pmml\")"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -154,7 +233,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.6"
+   "version": "3.7.10"
   },
   "latex_envs": {
    "LaTeX_envs_menu_present": true,

nyoka/base/constants.py

@@ -20,7 +20,7 @@
 class HEADER_INFO:
     COPYRIGHT = "Copyright (c) 2021 Software AG"
     APPLICATION_NAME = "Nyoka"
-    APPLICATION_VERSION = "5.0.0"
+    APPLICATION_VERSION = "5.1.0"
     DEFAULT_DESCRIPTION = "Default description"
 
 class MISSING_VALUE_TREATMENT_METHOD:

nyoka/metadata.py

@@ -16,6 +16,6 @@
    See the License for the specific language governing permissions and
    limitations under the License.
  """
-__version__ = '5.0.1'
+__version__ = '5.1.0'
 __license__ = "Apache Software License"