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+Linear and Logistic Regression
+====
+* input format: LibSVM
+* Example: [run-linear.sh](run-linear.sh)
+
+Parameters
+===
+All the parameters can be set by param=value
+
+#### Important Parameters
+* objective [default = logistic]
+  - can be linear or logistic
+* base_score [default = 0.5]
+  - global bias, recommended set to mean value of label
+* reg_L1 [default = 0]
+  - l1 regularization co-efficient
+* reg_L2 [default = 1]
+  - l2 regularization co-efficient
+* lbfgs_stop_tol [default = 1e-5]
+  - relative tolerance level of loss reduction with respect to initial loss
+* max_lbfgs_iter [default = 500]
+  - maximum number of lbfgs iterations
+
+### Optimization Related parameters
+* min_lbfgs_iter [default = 5]
+  - minimum number of lbfgs iterations
+* max_linesearch_iter [default = 100] 
+  - maximum number of iterations in linesearch
+* linesearch_c1 [default = 1e-4] 
+  - c1 co-efficient in backoff linesearch
+* linesarch_backoff [default = 0.5]
+  - backoff ratio in linesearch
+